Vehicle Simulator

Vehicle simulators are sophisticated software tools used to model and test various aspects of vehicle behavior, primarily focusing on autonomous driving and control systems. Current research emphasizes improving simulator realism, particularly in accurately representing sensor data and environmental factors like weather and lighting, often employing techniques like ray tracing and integrating model-in-the-loop and vehicle-in-the-loop simulations. This work is crucial for advancing autonomous vehicle safety and efficiency by enabling cost-effective and time-efficient testing of control algorithms, perception models, and energy management strategies, often leveraging reinforcement learning and Kalman filtering for optimization and calibration.