Steering Angle Prediction

Steering angle prediction aims to accurately estimate a vehicle's required steering angle using sensor data, crucial for autonomous driving. Current research focuses on improving prediction accuracy and robustness through multimodal sensor fusion (combining camera images, LiDAR, radar, and even CAN bus data), employing advanced neural network architectures like CNNs, LSTMs, Transformers, and attention mechanisms, and exploring techniques like federated learning to address data privacy concerns. These advancements are vital for enhancing the safety and reliability of autonomous vehicles, impacting both the development of robust control systems and the broader field of computer vision and machine learning.