Sneak-Peak into Autonomous Vehicles
By: Rinika Paul
Tags: Technology, Autonomous Vehicles, Engineering, Future, Machine Learning

If you have noticed, the technological advances for the past decade mainly focused on Machine Learning, Artificial Intelligence, and Computer Vision. Considering the present situation and the technological advances, we desired to possess a requirement wherein we can automate the minimum basic requirement of transportation. Isn’t it quite exciting? Think about the time where we can travel anywhere without merely having to drive. Just get into the vehicle, choose a destination and you will be right there. Quite relaxing and effortless right?

The Future

The race towards Autonomous Vehicle has already begun with the development in the electric mobility sector. There has been a significant shift in the automobile industry from IC engine vehicles to electric vehicles and in future autonomous vehicles. The baby steps towards an autonomous mode of transport have already been implemented such as in auto gear vehicles or automated parking systems and collision detection. The most important quality of an autonomous vehicle is vehicle-to-vehicle communication. An AV should be able to communicate with other vehicles thus preventing any kind of road accidents or detecting traffic and navigate accordingly. In simple words, an autonomous vehicle also known as self-driving cars or driverless vehicles is a mode of transport where the vehicle senses its surrounding environment and acts accordingly, and can move with less or no human effort.

Autonomous driving systems include the car navigation system, the location system, the electronic map, the map matching, the global path planning, the environment perception, the radar perception, the visual perception, the vehicle control, the perception of vehicle speed and direction, and the vehicle control method. The driverless car designer must be capable of sensing accurate data and would be able to detect other vehicles and control the AV based on the road conditions. Driverless vehicles require deep machine learning with many computational stages to enable the neural network to learn and execute the best course of action.

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Goals to an Autonomous Vehicle

In your normal daily car, ordinary cruise control help with long distance driving with some power steering and auto gears.

Adaptive cruise control which keeps safe distance with you and any other obstacles and lane keep assist reduce driving fatigue. Adaptive cruise uses radars and cameras to automatically apply brakes at slow moving traffic and resume speed when traffic clears. Lane keep assist will try to keep up with your lane but still require the driver to be in control. Toyota Corolla and Nissan Sentra possess intelligent cruise control for driver assistance.

Have you ever wondered what if you lose control over your speed? Yes, Level 2 automation can assist in controlling speed and steering even with the driver with steering control. It provides steer centering assist along maintaining the distance between you and the vehicle in front of you during stop-and-go traffic. Tesla Autopilot, Volvo Pilot Assist, Audi Traffic Jam Assist are some examples of Level 2 autonomous capabilities.

This is a future technology where autonomous vehicles are considered to be capable of driving themselves only under ideal conditions and with limited-access divided highways at a certain speed. A driver may still have to keep their hands on the wheel but it is a step to another level of fully autonomous car. The next generation Audi A8 is expected to be the first to market a level 3 autonomous driving system3.

Level 4 autonomous vehicles are supposed to drive themselves without human interactions with known destinations. The day is not too far when we can see driverless cars on our roads!

Vehicles should be capable to monitor and maneuver through all road conditions and require no human interventions eliminating the need for a steering wheel and pedals.

The building blocks of driverless cars are on the road now. Google’s Self Driving car — Waymo meets the requirement of collision control, cruise control, and driverless systems. By 2030, self-driving cars are expected to create $87 billion worth of opportunities for automakers and technology developers. The biggest tech firms and car companies will end up investing in autonomous-tech to lead to a different future. If you like the idea of work in New-Gen vehicles that are going to be driverless, this is the right career for you.

To walk into your career, you should be aware of autonomous vehicles and their working principles and components. Join our self paced course from basics to an expert level about Autonomous Vehicles. The course enables you to make your own Self-Driving Cars with technologies used by Google, Tesla, and Ford!