Reproduced checkpoint of TCP: Trajectory-Guided Control Prediction for End-to-End Autonomous Driving (Wu et al., NeurIPS 2022), used for evaluation in the bachelor's thesis: Dual-Axis Testing of Visual Robustness and Topological Generalization in Vision-based End-to-End Driving Models.

TCP combines trajectory prediction with direct control prediction in a unified architecture. The model predicts both a future trajectory and vehicle controls, using the trajectory branch to guide the control prediction through a multi-step reasoning approach.

Unofficial reproduction shared in TCP GitHub issue #11 (Oct 2022). Not affiliated with or endorsed by the original authors or OpenDriveLab.