Autonomous Vehicle Navigation and Control Systems
Table Of Contents
<p>1. Introduction<br> 1.1 Evolution of Autonomous Vehicle Technology<br> 1.2 Objectives of the Project<br>2. Sensor Technologies for Perception<br> 2.1 LiDAR, Radar, and Camera Systems<br> 2.2 Sensor Fusion and Environmental Perception<br> 2.3 Object Detection and Tracking<br>3. Localization and Mapping Techniques<br> 3.1 GPS, Inertial Navigation, and SLAM<br> 3.2 High-Definition Maps and Localization Services<br> 3.3 Simultaneous Localization and Mapping (SLAM)<br>4. Path Planning and Decision-Making<br> 4.1 Dynamic Environment Modeling<br> 4.2 Trajectory Planning and Collision Avoidance<br> 4.3 Behavior Prediction and Intent Inference<br>5. Control Systems for Autonomous Driving<br> 5.1 Vehicle Dynamics and Motion Control<br> 5.2 Adaptive Cruise Control and Lane Keeping<br> 5.3 Emergency Maneuvering and Fail-Safe Mechanisms<br></p>
Thesis Abstract
<p> This project aims to explore the development of autonomous vehicle navigation and control systems using advanced sensor technologies and machine learning algorithms. The project will involve the design and implementation of perception, localization, path planning, and control modules for autonomous vehicles. Additionally, the project will address safety, regulatory, and ethical considerations in autonomous driving. <br></p>Thesis Overview
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