Ego Vehicle

Ego vehicle research centers on developing algorithms and systems that enable autonomous vehicles to understand and navigate their surroundings safely and efficiently. Current research emphasizes improving perception (especially in challenging conditions), prediction of other agents' behavior, and planning of optimal trajectories using various deep learning architectures, including transformers, graph neural networks, and large language models integrated with reinforcement learning. This work is crucial for advancing autonomous driving technology, impacting safety, efficiency, and the overall feasibility of self-driving vehicles.