Vehicle Plan

Vehicle plan research focuses on developing algorithms and systems for efficient and safe vehicle navigation and control, encompassing aspects like trajectory planning, behavior prediction, and sensor integration. Current research emphasizes the use of deep reinforcement learning, convolutional neural networks, and other advanced machine learning techniques to address challenges such as robust lane detection, stabilizing vehicle motion in diverse terrains, and optimizing energy management in electric vehicles. This work is crucial for advancing autonomous driving, improving traffic safety and efficiency, and enabling innovative applications in intelligent transportation systems.