fabiochiu/medium-articles huggingface dataset:
Cartoons are far ahead in technology than Human Being…….
By: Dashrath Kumar
Tags: Self Driving Cars, New Invention, Mars Colonization, Animated Series, Robots

“Here are some Animated series of mid and late 20th century which shows us that they were quite ahead of us in Technology and Right now we are copying or following them for Inventions of Century.”

1 .’The Jetsons’ Family is far ahead in Use of technology of Hyperloop as mode of Travel .

The Jetsons is an American animated sitcom produced by Hanna-Barbera Productions. It originally aired in prime time from September 23, 1962 to March 17, 1963 on ABC in which George Jetson’s work week consists of an hour a day, two days a week.His boss is Cosmo Spacely, the bombastic owner of Spacely Space Sprockets. Spacely has a competitor, Mr. Cogswell, owner of the rival company Cogswell Cogs (sometimes known as Cogswell’s Cosmic Cogs). Jetson commutes to work in an aerocar with a transparent bubble top Or he used to use hyperloop like tube to travel quickly .

George Jetson Travelling In Tube in Year 1962

The Hyperloop is a proposed mode of passenger and freight transportation, first used to describe an open-source vactrain design released by a joint team from Tesla and SpaceX.Hyperloop is described as a sealed tube or system of tubes with low air pressure through which a pod may travel substantially free of air resistance or friction.[3] The Hyperloop could potentially convey people or objects at airline or hypersonic speeds while being energy efficient compared to existing high speed rail systems.[3] This, if implemented, may reduce travel times compared to train and airplane travel[3] over distances of under approximately 1,500 kilometres (930 miles
Ouster Joins The Lidar SPACs
By: David Silver
Tags: Self Driving Cars, Autonomous Vehicles

Reuters reports that Ouster, a five year-old, San Francisco-based lidar startup, plans to go public via a SPAC (special purpose acquisition company), at a market capitalization of nearly $2 billion. Kudos to Paul Lienert at Reuters, who also broke a recent story on Apple’s car efforts and is having quite a week.

According to Reuters, Ouster is the fifth lidar company this year to “agree” to go public via a SPAC, after Velodyne, Luminar, Innoviz, and Aeva. That’s kind of amazing, especially given that the primary customer of these companies will presumably be self-driving car manufacturers, almost none of whom have even launched a product yet — much less built profitable businesses.

I confess to not fully understanding the advantages of SPACs. I assume they bypass a lot of the paperwork and headaches associated with traditional IPOs. But I also imagine that in theory they should come with quite high capital costs. The number of SPACs available to take a startup public is much smaller than the number of institutional investors who would buy shares in a traditional IPO.

However, the outsized valuations of Luminar and Ouster, in particular, show that companies can achieve really high valuations via SPACs. According to the CEO of Colonnade Acquisition Corp., which will acquire Ouster and take it public, “It’s not a business plan — they’re selling real products to real customers right now.”

That’s kind of a surprising quote for a $2 billion valuation.

In any, congratulations to Ouster!
Welcome Ike
By: Dave Ferguson
Tags: Self Driving Cars, Autonomous Cars

Two and a half years ago, JZ and I met with Ike’s co-founders Nancy, Alden, and Jur to discuss our shared vision around realizing the potential of self-driving technology in years rather than decades. There was an instant connection around first moving goods rather than people and the importance of investing in culture and building the right team. It was this connection that led us to do something rather unusual in the AV industry: we licensed our SW stack in exchange for an equity stake in Ike.

We have maintained a close relationship ever since — sharing a slack channel and serving as advisors to one another. This relationship has grown into a shared affinity between our teams that goes beyond technology and ownership. In fact, my personal connection with Jur dates back over 15 years to when we were PhD students writing research papers together. This bond is what makes today’s news that Nuro is acquiring Ike so exciting for all of us at Nuro.

Having Ike join us in accelerating our progress is a truly special moment that feels a bit like a homecoming. When Ike first started, they did so inside our office. We shared a common space and a common goal, with lots of excitement and too few conference rooms.

Ever since then, we have watched as Ike developed not just one of the most rigorous safety-first and systems-based approaches to self-driving development, but also a team that is widely regarded as one of the brightest in our field. The combination of the two, along with the ability to readily integrate some of their core technology (like their world-class virtual simulation tool), is what made the opportunity to have them join us a natural fit.

We look forward to all we’ll be able to accomplish together, knowing that our horizon of possible applications has been expanded with the addition of the Ike team and their expertise. And we are thrilled to have them join us in our collective mission.

To the Ike team: we are humbled that you have chosen to be a part of Nuro. Having you join us as colleagues will not only improve our technical and commercial progress, it will enrich our culture and make us all the better for it. JZ and I have consistently told our team that the thing we are the most proud of building these past 4 years is our team of passionate people. This sense of pride is being reaffirmed today.

Welcome aboard Ike!
Self-driving car from YaCu
Tags: Self Driving Cars, Logistics, Unmanned, Future, Delivery

So, I’m in a bigger adventure. Somehow the question arose in my head in an absolutely random way: “Drone, how is it? Well, like, everyone knows (but doesn’t realize) that they’re almost there. The largest companies buy up startups in packs to bring themselves closer to the level of autonomy of 3+. Yandex boasts of its fleet of Priuses, who behave perfectly (like an 18-year-old guy on the 3rd day for a training car) on the streets of Moscow and Las Vegas. All this makes you feel involved in a completely phenomenal event. The future has come — feel it!

Our unmanned project is based on a simple idea to develop a universal enough solution, refusing the way of expanding the technology at the detection of some or other problems in the functioning of the system. We realized that basic vehicle control is possible on the basis of video stream, so we formulated the concept of focused attention and are now focused on developing an intelligent core capable of providing such attention. We are actually talking about using an end-to-end approach to designing a drone system. The study of modern experience in this direction inspired us to choose as a conceived intelligent core a convolute neural network with dynamically changing topology, where the key is the use of an evolutionary approach in its learning. Having produced the original convolution input layers of the network, we, however, using the heuristic method, have developed our own evolutionary cycle, the function of adaptability and the principles of birth of the next generations and are now continuing active research in this direction, having received encouraging results at the first stages.

What’s already been done:

1.The junction between the vehicle and the development environment has been established.

2.We connected a video stream to the system.

3.In order to ensure uniformity in the system and the required I/O relationship, we synchronized the capture of video frames and vehicle data.

4.Formulated a fundamental concept to use focused attention to perception of reality.

5.Implemented parallel computing technology using the GPU, which allows for multiple acceleration of calculations.

6.Added frame pre-processing that provides brightness stabilization.

7.We have developed a time-domain filter of video stream suppressing static, low-moving areas of images.

8.Introduced the idea of using as an intellectual core of focused attention an expandable neural network with dynamically changing topology and conceived its general structural solution.

9.Spatial filters were produced, which form four quadruple input layers of the network, developing its abstraction abilities.
The Apple Car Lives
By: David Silver
Tags: Self Driving Cars, Electric Car, Apple

Apple’s Project Titan has gone through a lot of ups and downs over the past six years. Today, a team at Reuters reports that the effort is still alive.

From the beginning, the project has focused on both autonomy and electrification. Reuters points to progress on the latter.

”It’s next level,” the person said of Apple’s battery technology. “Like the first time you saw the iPhone.”

Before that quote, the Reuters article does qualify this “person” as, “familiar with the companies plans.” Nonetheless, it’s amusing to read quote after quote attributed to “the person.” Apple takes secrecy seriously.

The article shares detail about “monocell” battery design that is beyond my expertise, but seems like progress.

Autonomy is less clear. Maybe Apple will build its own car. Maybe it will partner with an OEM.

“Sources have said they expect the company to rely on a manufacturing partner to build vehicles. And there is still a chance Apple will decide to reduce the scope of its efforts to an autonomous driving system that would be integrated with a car made by a traditional automaker.”

Maybe there will be many lidar sensors. Maybe there won’t?

Apple is targeting 2024 for a launch, but it might push back to 2025 because of the pandemic. Or (Reuters doesn’t speculate, but I will) because manufacturing self-driving cars is hard.

Apple has so much money I know not to ignore the trickle of news out of Project Titan. But it’s a trickle.
Apple wants to build its first car in 2024, Reuters says
Tags: Self Driving Cars, Apple, Covid 19, Cars, iPhone

Apple Inc.’s long-running effort to develop autonomous vehicle technology is reportedly on course to supply a self-driving passenger vehicle in 2024 with a game-changing battery of its own device.

Reuters cited unnamed sources on Monday who said that the Cupertino-based tech giant aims to create a mass-market personal vehicle for consumers. This diverts from a pack of companies within the self-driving race like Alphabet Inc.’s Waymo and Amazon.com Inc.’s Zoox that are developing robotaxis for driverless ride-hailing services.

Apple (NASDAQ:AAPL) has been quietly performing on autonomous vehicles since 2014 with a stealthy effort dubbed Project Titan. It started off with a thought to style a vehicle from scratch, then shifted to less audacious goals around developing technology to be used by original equipment manufacturers within the auto industry. It seemed to travel to its original goals in 2018 when it rehired Doug Field, who had gone off to figure at Tesla Inc., in 2018.

It’s not clear who would assemble an Apple car. Reuters sources said it’s likely to usher in a partner to try and do that and can also likely use lidar and other elements developed by outsiders in its vehicles. the corporate has been engaged on lidar and a few new iPhones this year include such sensors.

A pair of former Apple engineers who have developed what they sit down with as “lidar on a chip” are expected to require their Mountain View company, Aeva Inc., public early next year in an exceedingly “blank check” merger.

Reuters’ sources say that the battery Apple is developing could drastically reduce cost and increase practice range on electric vehicles.

The same claims are central to the what San Jose-based QuantumScape Technologies Inc. is developing. It went public last month within the Bay Area’s most highly valued “blank check” merger. Its market cap (NYSE:QS) jumped by nearly 29% on Monday and its shares have over quadrupled since they started trading a couple of month ago.

Reuters sources said that while Apple would love to provide its first cars in 2024, it’s faced a number of the identical pandemic-related problems as other businesses. They said this might shift the beginning of production into 2025 or later.
The Zoox Carriage
By: David Silver
Tags: Self Driving Cars, Autonomous Vehicles, Zoox

Yesterday, Zoox unveiled its long-awaited vehicle. It doesn’t yet have a name (the Zoox website lists it simply as, “VEHICLE”), although the press describes it as a “carriage”, at least in form factor. It resembles the Cruise Origin more than a little bit, including the glass elevator-style doors.

Zoox has done some amazing technical work with this vehicle. Most notably, the vehicle supposedly moves it not only forward and backward, like a normal car, but also side-to-side, like a dolley.

That said, I am a little skeptical about the utility of a four-person passenger vehicle as the true form factor for the self-driving future. We’re used to four-person vehicles now because consumers have to purchase cars that fill lowest-common-denominator needs. In a transportation-as-a-service world, though, I suspect we’ll all want to travel in our own personal vehicles.
Luxury Cars: To Gift Or Not To Gift?
By: Hype Luxury Mobility
Tags: Self Driving Cars, Mercedes, Luxury Cars Rental Dubai, Rent Luxury Car, Lamborghini

Buying a luxury car for yourself is surely a great idea, but buying it as a gift for someone? Not so much, As surprising as it sounds, Kit Yarrow, the author of Decoding the New Consumer Mind confirmed it. “ I interview consumers every holiday season, about what’s the best gift and what’s the worst gift they’ve been given. I’ve had 2 people who say they got a car for Christmas and it was the worst gift they’ve ever been given!

This may surprise many but if you think of it, a car as a gift isn’t really ideal. Typically, people like to be involved in the choice and purchase of cars. Additionally, if the car is going to be used by the entire family, it isn’t a gift. In fact, it ends up being a purchase that you have to maintain for years to come! Amidst a significant economic downturn, you may want to top up last year’s gift with an expensive purchase. But it makes little or no sense to spend a fortune on a luxury car as a gift, in 2020.

Hype is India’s First Luxury Mobility startup headquartered in Bangalore.
Computer Vision: A Leap Towards an Accident-free World
By: Himanshu Abhyankar
Tags: Self Driving Cars, Future, Technology, Artificial Intelligence, Computer Vision

Source- Internet

The Problem: Human Error

Article by: Himanshu Abhyankar

According to a 2019 study by the National Highway Transportation Safety Administration (NHTSA), somewhere between 94% and 96% of all car accidents are caused by human error.

What if I told you that each year, traffic accidents account for 2.2% of world deaths. That stacks up to roughly 1.3 million a year — 3,287 a day. On top of this, some 20–50 million people are seriously injured in auto-related accidents every year, brooding right? during this blog, we are going to facilitate your understand the importance of computer vision and also the future ahead.

From distracted driving to drunk driving to reckless driving to careless driving, one poor or unattentive decision may well be the difference between a typical drive and a life-threatening situation. the basis cause? Human error.

But what if we could neutralize the human error from this equation? What if there was the simplest way to watch bad driving and forestall those actions likely to cause accidents, even before the accidents occur?

Computer Vision is a lively solution. This technology makes it possible to mitigate human error within the auto industry, assisting drivers at the wheel with tools and features that keep them from committing serious mistakes and accidents. the longer term scope extending to autonomous vehicles and self-driving transportation.

Computer Vision: The Concept

Source- Internet

In it’s simplest form, computer vision is what allows computers “see” and process visual data.

Visual data is very difficult for computers to grasp. That’s where the genius of computer vision comes in. With support from artificial intelligence, computing, neural networks, deep learning, parallel computing, and machine learning, computer vision helping to bridge the gap between computers seeing and computers comprehending what they see.

To cut it short, computer vision is that the science behind advancements like self-driving cars and Facebook’s facial and image recognition technologies. Then again how is it different from human vision? How does it neutralize human error?
Amazon, Walmart, and Autonomy
By: David Silver
Tags: Self Driving Cars, Autonomous Vehicles

Although neither Amazon nor Walmart are known first and foremost as self-driving companies, they both have been doing a lot of work in the space. But they have been doing that work differently. Amazon has been investing while Walmart has been partnering.

I wrote about this for Forbes. I was a bit surprised myself as I listed off all the self-driving efforts.

Amazon

Zoox

Rivian

Aurora

Amazon Web Services

Amazon Robotics

Amazon Scout

Amazon Prime Air Drones

Walmart

Gatik

Cruise

Waymo

Udelv

Ford

Nuro

Flytrex

Check out the post on Forbes.com.
Moving Robotaxis from Research to Road
By: Karl Iagnemma
Tags: Self Driving Cars, Lyft, Autonomous Cars, Driverless Cars, Robotaxi

Today marks a significant first for our business and industry. Not only will Motional be among the first to put fully driverless vehicles on the road, but we’re now paving their paths to market. In 2023, our next-generation, fully driverless systems will be deployed on the Lyft network, enabling Motional’s vehicles to reach Lyft’s rider community in multiple markets.

Our agreement with Lyft represents the largest deployment partnership of its kind, born from decades of innovation and ingenuity, a relentless commitment to safety, and strong strategic partnerships. It underscores our commitment to move robotaxis from research to road.

This is a fitting close to a year of progress for Motional. We started 2020 by announcing that we’d provided more than 100,000 self-driving rides with Lyft in Las Vegas. Since then, we’ve become a $4B joint venture, reintroduced ourselves to the world as Motional, continued to lead the industry in safety and transparency with our groundbreaking nuScenes dataset, expanded our partnership network to include Via, and earned our driverless license. Along the way, we’ve discovered that awareness breeds enthusiasm for driverless vehicles, and that consumers are more interested in our technology than ever before. We’ve also embarked on a journey to understand transportation inequity and determine how Motional can improve mobility for underserved and low-income communities.

Our agreement with Lyft is one of the most meaningful steps our industry has taken towards a driverless future. It’s also the product of unparalleled experience. With Lyft, we’ve spent nearly three years operating what is now the world’s longest-standing public robotaxi service. We’ve successfully integrated self-driving vehicles onto a ridesharing network, operated a commercial robotaxi service at scale, built consumer trust in the technology, and safely provided over 100,000 rides. These learnings have provided ample validation for this next, larger phase of our partnership with Lyft, and we look forward to significantly increasing the availability of robotaxis to the general public.

Commercializing driverless technology will bring enormous benefits to society. We’ll spend more time chatting with our families and less time muttering angrily at traffic. We’ll have fewer parking lots and more parks. We’ll reduce emissions. And most importantly, we’ll remove human error from many driving scenarios — a step that has the power to save millions of lives.

Today marks a new chapter for Motional, and for our industry. We’re proud to be at the forefront of making driverless technology a safe, reliable, accessible — and ubiquitous — reality.

We look forward to welcoming you along for the ride.
Monarch: A Fully Driverless Tractor
By: David Silver
Tags: Self Driving Cars, Autonomous Vehicles

I had not heard of Monarch Tractor until I stumbled upon a KPIX report of an Bay Area winery buying its first fully driverless tractor.

This fall has been big for driverless launches: first Waymo, then Cruise, and now a bunch more. The fact that a slow tractor feels like no big deal is a testament to the quiet progress the industry has made recently.

Still a pretty big deal.
Thank you for all the amazing work and growth that you provided to the Self Driving-Cars Nanodegree…
By: Luis Vivero
Tags: Schoolautonomousvehicles, Udacity, Selfdrivingcars

Thank you for all the amazing work and growth that you provided to the Self Driving-Cars Nanodegree and School of Autonomous Vehicles during all these years. Best wishes for your next endeavor. We’ll miss you David!
Tooros self drive car rental service (https://tooros.in/, is one of the leading and best online Car rental in Bhubaneswar. We always have a motive to provide hassle free and smooth self drive cars in…
Tags: Self Driving Cars, Car Rental Services, Self Drive Car Rental

Tooros self drive car rental service (https://tooros.in/, is one of the leading and best online Car rental in Bhubaneswar. We always have a motive to provide hassle free and smooth self drive cars in Bhubaneswar such that we will satisfy our client to fullest. Getting Car Rental in Bhubaneswar is now easy with Tooros technologies. At Tooros, we offer you the best in class rental car in Bhubaneswar at the very affordable price and discounts to suit our every customer’s travel needs.
Aurora is Driving Full Speed into the Future
By: Alexander Fleiss
Tags: Self Driving Cars, Automation, Automotive, Automotive Industry, Automobile

Aurora is Driving Full Speed into the Future

There is little doubt that self-driving technologies will be a part of the future, so the question is: who will lead the charge? Companies such as Tesla and Google have made huge strides in creating autonomous vehicles, but a company younger than your preschooler may be the future. The three-year-old “Aurora” has developed advanced self-driving technology that is safe and can be widely adopted in a number of different industries.

Aurora was co-founded by three different people who each have a wealth of knowledge about self-driving technology. Chris Urmson led Google’s self-driving program before co-founding Aurora. Drew Bagnell was the former head of Uber’s autonomy and perception team. And Sterling Anderson, the third co-founder, led Tesla’s autopilot team.

Read More
Cars are too complicated!
By: Trapped Mind
Tags: Self Driving Cars, Cars

First of all, I’m not a native English speaker, so any grammar issue you found in the text is not my fault.

Why we use such dangerous and complicated cars? companies like google are trying to solve an issue that doesn’t need to exist. We need cars to stop, go left, right, forward, and backward, and why such easy cars must control by drivers who can get drunk? A simple system with no AI behind can control the cars and traffic.
Race to the future : Omnipresent AI
By: Sathvi Subramanian
Tags: Self Driving Cars, AI, Autonomous Cars, Machine Learning, Artificial Intelligence

Artificial intelligence is everywhere these days from manufacturing and advertising to our home and even in our toothbrush. Every business/product needs data and is looking to understand how users interact with their product to solve user problems, improve their product and personalize the user experience. This is where AI exceeds human accuracy in identifying, detecting, analyzing, predicting and generating forecasts to help businesses make the right decision to help them exceed their goals and incentivize in today’s competitive market.

We come across AI everyday so frequently, that it is not new to us anymore.
[Week 1] Research Project Journey - 6 Degree of Freedom Object Pose Estimation
By: Ty Nguyen
Tags: Self Driving Cars, Pose Estimation, Autonomous Cars, Vision

After working on various projects during my Ph.D., I decided to write down my experience on a new project that I’ve just started for a few weeks and share it publically.

Vision-based car rotation and translation estimation pipeline. Courtesy of Wu et al.[3]

A brief introduction about myself: I’m a 5th-year Ph.D. student in Computer Science at Penn. Throughout my Ph.D., I’ve worked on different machine perception problems, from tomography estimation, depth estimation to object detection. I’ve recently published a paper on multi-agent localization using pair-wise measurement. Describing myself as an applied science researcher, I enjoyed working on different projects that aim to equip robots and intelligent agents with the capability to sense the world using cameras and LiDARs. This time, my goal is to estimate 6Dof of an object pose using monocular RGB images.

This week, I’ve spent time reading a couple of papers including:

He, Yisheng, et al. “PVN3D: A deep point-wise 3D keypoints voting network for 6DoF pose estimation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020. Li, Zhigang, et al. “Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations.” arXiv preprint arXiv:2008.08391 (2020). Wu, Di, et al. “6d-vnet: End-to-end 6-dof vehicle pose estimation from monocular rgb images.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2019.

I found that Wu et.all[3] look closest to what I want to solve. Therefore, I’ve read it in more details and started cloning their codebase to experiment with. I’ll update on the experiment later.
Xpeng
By: Stefano Osellame
Tags: Self Driving Cars, Innovation, Technology, Tesla, Electric Car

EV company profiles — #3

Xpeng

Xpeng P7 Sedan

Xpeng represent the third China manufacturer that we are analyzing in this EV Company Profile Series, the previous being Nio and Li Auto.

While Nio is trying to position itself into the premium sector and Li Auto is not exactly an EV maker but have the range extender hybrid technology, Xpeng seems to compete head to head on prices with Tesla.

So far the results have seemed consistent and sales are picking up specially for the new P7 model, but lower prices equal to lower margins, and it is not easy to achieve profitability starting from zero, while competing with a company like Tesla, which already is profitable and can cut costs more easily due to higher volumes and margins.

Moreover, there are many controversies around Xpeng, accused of stealing secrets from Apple’s autonomous car project, and more recently also of copying part of Tesla autopilot source code, by hiring a former Tesla employ.

So much for a start, let’s carefully analyse the company and its future outlook together.
Waymo’s Safety Report
By: David Silver
Tags: Self Driving Cars, Autonomous Vehicles, Waymo

Waymo has just published a lot of information about the safety and validation of its sytems — more than I have yet reviewed. At the top level is a blog post in which Waymo breaks its safety analysi s into three parts:

Hardware

Software

Operations

Within each of those parts is a fair bit more detail and structure, more than I have seen in the past. For example, regarding hardware:

A vehicle equipped with the Waymo Driver has four main subsystems, which form the ‘hardware layer’. This includes the vehicle itself; the systems used for steering and driving; the sensor suite built into the vehicle; and the computational platform used to run our software.

Undergirding these descriptions are three documents:

Safety Report. This is 48 pages of glossy material that seems similar to material Waymo has published in the past. There’s a lot of data, but the audience seems to be more for the public and policymakers, rather than engineers and analysts.

Safety Methodologies and Safety Readiness Determinations. This looks neat. Lots more detail on the three layers of Waymo’s stack (hardware, software, operations). Lighter detail on how Waymo determines the safety readiness of the layers.

Waymo Public Road Safety Performance Data. Academic-style analysis of Waymo self-driving data from the Phoenix metro area in 2019. Unsurprisingly, the collisions recorded tend to be the fault of human drivers in other vehicles, not Waymo AVs.

This sentence caught my eye: “There were 47 contact events that occurred over this time period, consisting of 18 actual and 29 simulated contact events, none of which would be expected to result in severe or life-threatening injuries.”

I’m excited to read these documents over the coming days and see what they reveal. As Waymo writes in the blog post:
Ann Arbor Company Manufacturers First Autonomous Sensor Balancing Machine
By: Hines Industries
Tags: Self Driving Cars, Sensors, Automotive, Autonomous Vehicles, Autonomous Cars

Ann Arbor Company Manufacturers First Autonomous Sensor Balancing Machine

Hines Industries, a Michigan based manufacturer, has engineered and manufactured its first balancing machine specially designed to balance autonomous sensors on self-driving vehicles. A well-balanced sensor will increase the sensors efficiency, when factors such as longevity, safety, and noise play an important role for lidar manufacturers, through reducing the vibration caused by imbalance.

Not all parts within a lidar need to be balanced, only the components that rotate. This poses a unique challenge when designing a balancing machine to incorporate a motorized lidar assembly. Hines engineers redesigned the Hines model HVR to accommodate the spinning sensor without a balancers spindle.

The Hines Industries custom model HVR-50 is a computer based, two plane, manual load, single station balancing machine. The balance mechanism uses a rugged hard suspension HVR (vertical axis, rotating) system to support the weight of the workpiece. Unlike most Hines HVR machines, this machine has no spindle and instead is driven by the motorized lidar assembly.

Hines programmers created a custom balancing program to incorporate the customers part and motor drive into the balancing machine software. Unbalance is identified and displayed on the computer screen allowing a machine operator to make a correction. After a part has been balanced below its tolerance, “Good Part” is displayed on the computer screen.

With Hines proven technology, the company is able to use their expertise for other lidar manufacturers looking for a balancing solution that is unique to their sensor needs.The Hines team has produced an entire line of balancing equipment that includes manual, semi-automatic, and fully automatic systems for a wide variety of tolerances and manufacturing throughput requirements.
Self Driving Cars Are…
By: Paul Cipparone
Tags: Self Driving Cars, Google, Autonomous Cars, Machine Learning, Cars

Self Driving Cars Are Dangerous

Probably not the ones that the average human will see. Any self-driving car that gets released for use by the general public will almost certainly be several times safer than a human driver before regulatory bodies let it get anywhere near a public road. That said, during the R&D phase, if these systems aren’t properly validated, they can be pretty dangerous. Good thing we have reliability engineers on the case!

Self Driving Cars Are Bad

As I wrote about in my last post, technology isn’t really good or bad. What it is is an amplifier. If you get a self-driving car, you’ll probably have more free time. You could use that free time to do productive, meaningful things, or you could just waste that time.

One potential danger of self-driving cars is job loss. Many people all over the world are paid to drive things from point to point. Robots will take those jobs once they’re better at it than humans.

That said, I figure the lives saved due to self-driving cars is probably an objective good. There’s always ways that it might not be (maybe the next Hitler would have died in a car crash if not for Tesla Autopilot?) but given the number of lives to be saved, it seems very likely that the good will necessarily outweigh the potential bad.

Self Driving Cars Are Examples of Emerging Technology

This is true. Self-driving cars are well on their way to adoption but are not really out on the road yet at scale (at the time of writing this, Tesla is just now starting their Full Self-Driving beta). That said, self-driving cars have penetrated the cultural consciousness to the point where their arrival seems inevitable. This is a great thing for society and I’m sure that it means that by the end of the century it will be weird to have a human-operated car. If people even get transported that way at all.

Self Driving Cars Are Stupid

Yeah, all they can do is drive, so by human standards, I guess they are pretty stupid.
5 Technologies That Can Revolutionize Our Everyday Life in 2021
By: Harish Maddukuri
Tags: Self Driving Cars, Better Living, Cloud Services, Smart Home, Technology

1. The spread of 5G

Previously there was much talk about the fifth-generation technology only for the geopolitical aspects, little of its practical effects. In 2021 its diffusion will be more widespread in the Global Market and it will be enjoyed not only by some inhabitants of metropolitan cities. No more fiber optic cables but relaunched communication pulses between antennas and cells at least a thousand times faster than those guaranteed with 4G LTE technology. The evolution from 2G to 4G has allowed making quantitative jumps in speed improving the connection. The 5G instead will be a technological discontinuity that will eliminate forever the latency time in the passage of audio, video, and images.

Image by mohamed_hassan from Pixabay

Translated: We will be able to download an entire TV series in a few minutes, remotely control cars, appliances, and robots in real-time, thanks to the connection between sensors, cameras, and drones. There will be the possibility to manage efficiently the traffic of roads and airports. Most of these new functions can be done even with just a smartphone. For this reason, Samsung and Apple are launching their cell phones compatible with the fifth-generation network.
Doing Good By Moving Goods: Helping The Education Fund in Miami Deliver Food Autonomously
By: Ford Motor Company
Tags: Self Driving Cars, Automation, Business, Autonomous Cars, Technology

Doing Good By Moving Goods: Helping The Education Fund in Miami Deliver Food Autonomously

At Ford, we believe self-driving vehicles will help make a positive impact in our communities by providing greater access to transportation and delivery services. Since establishing our self-driving operations in our first launch city, Miami, Florida, collaboration has been central to our approach. We’ve been working closely with local officials and the community to understand how our service offerings can integrate within the existing transportation system and how it can provide value.

To do this, we are conducting pilots that will help us stand up our self-driving business. At the same time, we also wanted to find a way to help the community as it deals with the challenges of the global pandemic. That’s why we recently teamed up with The Education Fund, a local non-profit in Miami-Dade County, building on previous business pilots to now conduct deliveries with our self-driving vehicles in autonomous mode.

What we’re doing: The pilot we are operating with Argo AI supports The Education Fund’s Food Forests for Schools program, which has food forests at local Miami-Dade schools to promote healthy eating by growing fresh fruits and vegetables for school cafeterias and for students to take home to their families.

The Ford Motor Company Fund has been a long-time supporter of The Education Fund. With the ongoing pandemic restricting widespread access to these schools and food forests, Ford and our self-driving technology provider Argo AI offered to deploy our self-driving test vehicles to make contactless deliveries from the Food Forests to students and their families.

How we’re making deliveries: As part of the eight-week program, Ford and Argo AI are delivering fresh bags of produce to approximately 50 students and their families each week in our Ford Fusion Hybrid self-driving test vehicles.
Otonom Araçlar Konusunda Temel Bilgiler ve Etik
By: Büşra Gülen
Tags: Self Driving Cars, Etik, Otonom Araçlar

Moral Machine

A platform for public participation in and discussion of the human perspective on machine-made moral decisions
자율주행 개발자가 Flutter와 Fuchsia를 공부하는 이유 (2)
Tags: Self Driving Cars, Flutter, Autonomous Cars, Front End Development, Frontend

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자율주행 개발자가 Flutter와 Fuchsia를 공부하는 이유 (1)
Tags: Self Driving Cars, Flutter, Operating Systems, Fuchsia, Autonomous Cars

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বাংলাদেশে সেল্ফ ড্রাইভিং গাড়ি বানানোর প্রাথমিক সমস্যাগুলি।
By: Md Rana Mahmud
Tags: Self Driving Cars, Bangladesh

Data Scientist, Statistician and Programmer. Want to be a Data Scientist one day. Loves programming and data science.
Why You’ll Never Drive a Car Anymore: Everything You Need to Know
By: Nuno Fabiao
Tags: Self Driving Cars, Carbon Emissions, Technology, Tesla, Disruptive Innovation

I’m extremely confident in achieving full autonomy and releasing it to the Tesla customer base next year (2021).- Elon Musk in an interview this week

One of the things I love about Elon Musk is that he really wants to change the world for the better. In this same interview he starts to say:

You should look back from the future and ask what’s the fundamental good of Tesla. It should be accessed as by how many years did Tesla accelerated the advantage of sustainable energy.

The truth is that we, humans, have to have sustainable energy yesterday, not tomorrow. Or our own survival will be at risk.

We are probably tired of hearing this kind of phrase. But until we change, we will continue to listen to it.

It’s not because Elon is trying to get us to Mars through SpaceX, that you shouldn’t leave a legacy of shifting paradigms for the next generation.

Unless you want your sons and daughters to look at your generation and say: You should be ashamed of yourself. How could you destroy the world we have to live in? No ancestral forests, clean rivers, coral reefs, or clean air for us to breed.

Tesla’s Model S was first released in 2008. And every auto companies laugh at Elon, saying he was crazy. A car moved by batteries. They told him he would never make it. Even though they didn’t know that Elon’s first wish was to save Planet Earth.

In the year 2020, every auto company wants a piece of Tesla. They recognize they should start investing in battery technology 10 years ago while they’re laughing at Tesla.

Nobody knew at that time what technology disruption, technology convergence, or vertical integration meant.

Nobody, except Elon Musk.

From a simple principle of saving the planet, Musk started a master shift. Things like Deep Learning, Artificial Intelligence, Robotic Cooperation, Autonomous Driving, were strange concepts for most auto industry.

Not for Tesla and not for some other tech companies.

The world as we know it’s going to suffer a profound transformation.

These new technology disruptions have just started. And they’re gonna radically change our lives for the better.

Let me tell you how.
Meet The World’s Newest — And Youngest — Self-Made Billionaire: Luminar’s Austin Russell
By: Xin Xin Be
Tags: Self Driving Cars, Transportation, Innovation, Austin Russel, Technology

Meet The World’s Newest — And Youngest — Self-Made Billionaire: Luminar’s Austin Russell

What an achievement for a young man in a year where there is too much anxiety over uncertainty. When his product becomes ubiquitous, it will help save lives. It is time we look at better solutions in preventing automotive-related deaths around the world each year.

Good job, Austin Russel.
Day 6— My journey to learning how to turn my car into a self-driving automobile
By: Iulian Oana
Tags: Self Driving Cars, Challenge, Autonomous Vehicles, Autonomous Cars, Machine Learning

Day 6–04 Dec 2020 — Today’s not the day…

Yesterday I posted a very brief progress of the day. I will unfortunately have to do the same for today. So I would honestly not mind if you want to skip over this post. I know I said I will post all my findings in a more detailed manner today, but time was not my friend today. I will most surely do it tomorrow, as I will take a break. During which I will only focus on the blog, and light side research on the topic, no course materials.

Progress

Today I completed the Lanes Finding module. I can only say I haven’t learnt something this interesting and challenging in months. The mathematical calculations were not complex, after all, there was only one linear equation at core. But the implications of each variable from it, and the concept itself was mildly involved for me. Finishing this module feels rewarding to say the least. It was nothing to do with Machine Learning, I only learnt about different applications of NumPy and OpenCV libraries applications.

Thoughts

I promised my brain a break will come. Tomorrow I will take a break where I will write a more detailed blog post, and watch some more videos about the topic I just studied (for better understanding).

I enjoyed every minute of this module, the aha moments as well as the continuous frustrations with me not understanding the code to it’s deepest levels of detail. I took plenty of screenshots to help me document my progress, ultimately hopefully making it easier for someone that reads the post and plans on learning themselves.

Next

Tomorrow, like stated already a couple of times, I will detail my entire progress and understanding as best I can, after completing the Lanes Detection module.
What? Self-driving cars next year?
By: Nuno Fabiao
Tags: Self Driving Cars, Business, Elon Musk, Technology, Tesla

“I’m extremely confident in achieving full autonomy and releasing it to the Tesla customer base next year (2021).”- Elon Musk

Too many bombshells in a single day.

Tesla solving level 5 on full autonomy driving by 2021?

Tesla acquiring or merging another auto company? Elon said it could be a possibility. But why would Tesla merge with another auto company? Would a major player in the auto industry buy a good acquisition by the number of facilities they have? It’s not about their know-how, because a lot of them still don’t know how…

What’s your opinion on this?
Day 5— My journey to learning how to turn my car into a self-driving automobile
By: Iulian Oana
Tags: Self Driving Cars, Challenge, Autonomous Vehicles, Autonomous Cars, Machine Learning

Day 5–03 Dec 2020 — We might be onto something here

Yesterday I talked about my brain pressing me to give up due to the lack of motivation. As stated in my previous post, it was only something temporary, and that I should not give into these sort of suggestions, which I didn’t

Progress

Today I made some really good progress with the concepts detailing the Lanes Finding algorithms. In short, I found the module so far incredibly interesting and resourceful. So far, with regards to image processing, I learnt about greyscale conversion, smoothening, edge detection, binary_and over two 2-dymensional arrays and Hough transform. I gathered lots of useful information (that also helped me sediment the concepts) and I will present them in tomorrow’s post, as I believe it’s going to be a slightly longer post than usual.

Thoughts

All in all, I am really excited about this module, and about the entire course so far. The concepts in this module are complex and mildly challenging, but it really opens some new ways of thinking, in my opinion. Seeing how a series of mathematical calculations combined with a set of rules can output something other than the original image input, is something.

Next

Today’s post was so short because I focused on truly understanding the contents presented and taking a bunch of notes for the blog. So I prepared some resources for the next post. I got half-way through the lanes detection module and tomorrow I will finish it and focus on a more elaborate post, elaborating some of the concepts learnt, in my best competence.
임베디드 개발자가 프론트엔드 개발을 하는 이유
Tags: Self Driving Cars, Web, Embedded Systems, Autonomous Cars, Front End Development

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Day 4 — My journey to learning how to turn my car into a self-driving automobile
By: Iulian Oana
Tags: Self Driving Cars, Challenge, Autonomous Vehicles, Autonomous Cars, Machine Learning

Day 4–02 Dec 2020 — And it’s only day 4…

Yesterday, on my third day in this project, I finished up on the Python fundamentals. Today, according to plan, I took on and quite conveniently finished the NumPy module.

Impressions

Not really much to say, the module had some really useful information in it. I am not ashamed to say that I would most probably forget half the information exercised in these past couple of days. And that is alright, I will not need it anyway until I can actually use it. I expect the concept to sediment when I get to writing up some machine learning code.

I learnt about vectors and vector operations, multidimensional arrays and slicing, reshaping matrices operations and arrays stacking. These concepts are meant to provide a brief introduction into the world of deep learning. I am sure there will be a lot more to grasp, but for now, this would’ve gotten my feet wet.

Thoughts

I like expressing my thoughts, it means I can externalise and formalise them, package them in a way I can actually comprehend the next time I get to them.

As expected, I started to question this whole project and its fundamental purpose (I know, and it’s only day 4…). I cannot help but wonder if what I do will provide me with any sort of value for the forthcoming future. I am an extremely practical person, meaning I never purchase, build or learn something unless I have a deep intent for it.

I do not have the same level of motivation, quite the opposite. I started to feel like I am wasting time.

Why am I writing all these things? Or more importantly, if I recognize all these, why do I keep carry on?

Well that’s easy, because I saw these coming. Knowing me and my way of thinking, I knew sooner or later the day the idea of giving up will begin to sprout. And it comes in waves, it can dissipate tomorrow, but it could come back Friday and so on.

The idea being that working on this project cannot harm me, nor it could ever be considered as a waste of time. I keep on going because this is the normal chatter that keeps us from achieving anything worthwhile pursuing.

Following

Tomorrow I will actually do some Machine Learning. I will deep dive into Computer Vision, specifically finding lane lines. I read about the process and it is quite impressive. I can’t wait to come back with updates.