VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual
Descriptions
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual
Descriptions
Predicting future trajectories for other road agents is an essential task for autonomous vehicles. Established trajectory prediction methods primarily use agent tracks generated by a detection and tracking system and HD map as inputs. In this work, we propose a novel method that also incorporates visual input from surround-view cameras, …