Development of a computer vision system for autonomous vehicles
Table Of Contents
- <p>
- 1.Introduction<br>
- 1.1Background<br>
- 1.2Motivation<br>
- 1.3Objectives<br>
- 2.Literature Review<br>
- 2.1Computer Vision in Autonomous Vehicles<br>
- 2.2Sensor Fusion and Perception Algorithms<br>
- 2.3Safety and Regulatory Considerations<br>
- 3.Sensor Integration and Calibration<br>
- 3.1Camera and LiDAR Sensor Selection<br>
- 3.2Sensor Fusion Techniques<br>
- 3.3Calibration and Synchronization<br>
- 4.Perception and Decision-Making Algorithms<br>
- 4.1Object Detection and Classification<br>
- 4.2Lane Detection and Tracking<br>
- 4.3Path Planning and Collision Avoidance<br>
- 5.Control Interface Design<br>
- 5.1Human-Machine Interface for Autonomous Driving<br>
- 5.2Emergency Response and Fail-Safe Mechanisms<br></p>
Project Abstract
<p> This project aims to develop a computer vision system for autonomous vehicles, enabling real-time perception and decision-making capabilities for safe and efficient navigation. The system will utilize cameras, LiDAR, and radar sensors to capture and process environmental data, enabling object detection, lane tracking, and obstacle avoidance. The project will involve sensor integration, algorithm development, and the implementation of a control interface for autonomous driving. <br></p>Project Overview
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