Driving Simulator

Driving simulators are virtual environments used to develop and test autonomous driving systems, offering a cost-effective and safe alternative to real-world testing. Current research focuses on improving simulator realism, particularly through advanced rendering techniques and accurate vehicle dynamics models, often incorporating neural networks (e.g., NeRFs) and reinforcement learning algorithms for more realistic agent behavior and scenario generation. This work is crucial for advancing the safety and reliability of autonomous vehicles by enabling comprehensive testing and validation of perception, planning, and control algorithms under diverse and challenging conditions.