Research on Dynamic Trajectory Planning Model for Autonomous Vehicles Based on High-Precision Maps

In response to the technical issue of trajectory planning accuracy for vehicles in complex traffic environments, research has been conducted oninteractivepredictivepath planning, perception of complex traffic scenarios. To address this issue, sensor data fusion technology, deep learning path prediction models, and dynamic programming algorithm optimization techniques were employed to effectively analyze driving state monitoring data and the model trajectory planning process. By applying high-precision map data fusion and trajectory planning algorithms, real-time trajectory adjustment strategies were achieved in complex scenarios. Simulation experiment results indicate that the improvement in trajectory planning accuracy is supported by vehicle dynamic trajectories, high-precision maps, and other data, demonstrating the capability or solutions to address problems in complex traffic environments, and the results show that this technical method is feasible.