Accuracy and precision of exclusively AI assisted Missiles and it's consequences
Creators: name: VENKATESAN.M.J.
name: THANGAMANI N
name: DINESH N
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Artificial intelligence
subject: Satellite navigation system
subject: Explosive Agents
subject: Aeronautical engineering
subject: Military Deployment

description: AI object recognition missiles can operate independently of satellite navigation systems:Alternative Guidance Systems1) Inertial measurement units: Using gyroscopes and accelerometers to track the missile's trajectory.2) Terrain reference systems: Using terrain features to navigate and guide the missile.3) Image recognition: Using AI-powered image recognition to identify and track targets.Benefits*Reduced reliance on external systems: Operating independently of satellite navigation systems reduces vulnerability to jamming orspoofing.*Increased autonomy: AI object recognition missiles can make decisions based on their own sensors and algorithms.*Improved survivability: Reduced reliance on external systems can improve the missile's survivability in contested environments.Challenges*Complexity of AI algorithms: Developing reliable and accurate AI algorithms for object recognition and guidance.*Sensor accuracy: Ensuring the accuracy and reliability of sensors used for guidance and target recognition.
description:  







Exclusively AI-assisted missiles that work without GPS would rely on other navigation and guidance systems, such as:

 

Alternative Navigation Systems

 

1) Inertial Measurement Unit (IMU): Uses sensors to track the missile's movement and orientation.

 

2) Terrain Reference Systems (TRS): Uses terrain maps and sensors to determine the missile's location.

 

3) Image recognition: Uses cameras and AI algorithms to recognize and track targets.

 

4) LIDAR (Light Detection and Ranging): Uses laser sensors to create high-resolution 3D maps and track targets.

 

AI-Assisted Guidance

 

i) Machine learning algorithms: Can be trained to recognize patterns and make decisions based on sensor data.

 

ii) Computer vision: Can be used to detect and track targets using visual features.

 

iii) Sensor fusion: Combines data from multiple sensors to improve navigation and guidance.

 

Benefits

*GPS-denied environments: Can operate effectively in areas where GPS signals are weak or unavailable.

 

*Increased autonomy: Can make decisions without relying on external navigation systems.

 

*Improved accuracy: Can use multiple sensors and AI algorithms to improve targeting accuracy.

 

Challenges

*Complexity*: Developing and integrating AI-assisted guidance systems can be complex and challenging.

 

*Data quality*: Requires high-quality sensor data to function effectively.

 

*Cybersecurity*: May be vulnerable to cyber threats and data breaches.

 

Exclusively AI-assisted missiles that work without GPS would require advanced navigation and guidance systems, as well as robust AI algorithms and sensor systems.




 
description: Algorithm for an AI-assisted missile guidance system that works without GPS:

Algorithm Overview

1) Initialization: Initialize the missile's navigation and guidance systems.

2) Sensor Data Collection: Collect data from various sensors, such as IMU, TRS, cameras, and LIDAR.

3) Data Fusion: Fuse data from multiple sensors to improve navigation and guidance.

4) Target Detection: Use computer vision and machine learning algorithms to detect and track targets.

5) Guidance and Control: Use AI algorithms to guide the missile to the target.

Algorithm Steps*Initialization*1. Initialize IMU, TRS, camera, and LIDAR sensors.2. Load terrain maps and target data.

*Sensor Data Collection*1. Collect IMU data (acceleration, orientation).2. Collect TRS data (terrain features).3. Collect camera data (images).4. Collect LIDAR data (3D point clouds).

*Data Fusion*1. Fuse IMU and TRS data to estimate missile position and velocity.

2. Fuse camera and LIDAR data to detect and track targets.

*Target Detection*1. Use computer vision algorithms to detect targets in camera images.

2. Use machine learning algorithms to classify targets and estimate their position.

*Guidance and Control*

1. Use AI algorithms to guide the missile to the target based on fused sensor data.

2. Adjust missile trajectory to ensure accurate targeting.

AI Algorithm Details

1. *Machine Learning*: Use supervised learning to train models for target detection and classification.

2. *Computer Vision*: Use techniques like object detection, tracking, and segmentation to detect and track targets.

3. *Sensor Fusion*: Use techniques like Kalman filtering or particle filtering to fuse sensor data.

This algorithm provides a high-level overview of the steps involved in an AI-assisted missile guidance system that works without GPS. The specific implementation details would depend on the requirements and constraints of the system.
description: To evade detection or tracking by an algorithm that uses terrain data, altering the shape of the terrain might involve:

Natural Methods1. *Erosion*: Natural erosion processes can alter terrain shapes over time.2. *Deposition*: Sediment deposition can change terrain features.

Artificial Methods1. *Excavation*: Digging or excavating areas to alter terrain shapes.2. *Landfill*: Adding material to change terrain features.3. *Engineering*: Constructing structures or altering terrain for specific purposes.

Considerations1. *Feasibility*: Altering terrain can be complex, expensive, and potentially impractical.2. *Environmental impact*: Changes to terrain can have significant environmental consequences.3. *Detection*: Algorithms might still detect altered terrain or changes in terrain features.

The effectiveness of altering terrain to evade detection would depend on various factors, including the algorithm's capabilities and the extent of terrain modification.
description: Arduino is a popular open-source electronics platform that enables users to create interactive projects. It consists of:

Key Components1. *Microcontroller board*: The brain of the Arduino, which processes code and interacts with sensors and actuators.2. *IDE (Integrated Development Environment)*: A software platform for writing, compiling, and uploading code to the Arduino board.

Applications1. *Robotics*: Arduino is often used in robotics projects, such as line followers, obstacle avoiders, and robotic arms.2. *Home automation*: Arduino can be used to control and automate various home devices, such as lighting, temperature, and security systems.3. *Wearables*: Arduino can be used to create wearable devices, such as fitness trackers, smartwatches, and gesture-controlled accessories.

Advantages1. *Easy to learn*: Arduino is a great platform for beginners, with a simple and intuitive programming language.2. *Community support*: Arduino has a large and active community, with many resources available for learning and troubleshooting.3. *Flexibility*: Arduino can be used for a wide range of projects, from simple to complex.

Potential Uses in Missile Guidance1. *Prototyping*: Arduino could be used to prototype and test simple guidance systems or sensors.2. *Simulation*: Arduino could be used to simulate certain aspects of missile guidance, such as sensor data processing or control systems.

Keep in mind that Arduino is not typically used in actual missile guidance systems, which require more advanced and specialized hardware and software.