Motion Prediction for Autonomous Vehicles

Developed an advanced deep learning model to accurately predict the trajectories of surrounding vehicles in relation to self-driving vehicles. This model integrates Polyline-LSTM-MLP architecture with transformer-based encoders, effectively analyzing both the movement history of nearby agents and the intricate patterns of road networks.