Simulated Vehicle Trajectory and Motion Data for Improved Driving Risk Field

This dataset contains vehicle trajectory and motion data collected during simulations comparing the traditional elliptic field theory algorithm and the improved driving risk field algorithm. The data includes variations in trajectory coordinates, heading angle, yaw rate, and roll angle over time. The simulations utilized Prescan's built-in dynamic model and trajectory tracking controller to ensure that the vehicle's movements adhered to dynamic constraints. The experiments were conducted in typical scenarios with known obstacle types, speeds, and accelerations, focusing on analyzing the performance of both algorithms in obstacle avoidance, particularly in terms of driving safety and stability.