Vision-Based Approach

Tesla's vision-only approach to autonomous driving is fundamentally different from traditional LiDAR-based systems. Instead of using expensive LiDAR sensors, Tesla relies on a network of 8 cameras positioned around the vehicle to provide 360-degree coverage.

The vision system processes images from these cameras using deep neural networks to understand the environment. This includes: - Object detection and classification - Depth estimation - Motion prediction - Path planning

The key advantage of this approach is cost-effectiveness and scalability, as cameras are much cheaper than LiDAR systems. However, it requires sophisticated neural networks to interpret visual data accurately.