Driving Algorithm

Driving algorithms aim to enable autonomous vehicle navigation, focusing on safe and efficient operation in diverse environments. Current research emphasizes robust lane following, multi-agent coordination (often using graphical neural networks or reinforcement learning), and the development of accurate world models for prediction and planning. This field is crucial for improving road safety and traffic efficiency, driving advancements in areas like computer vision, machine learning, and robotics, and fostering the development of safer and more reliable autonomous vehicles.