A Transformer parking policy with cross-attention goal fusion and a GRU pedestrian predictor achieves 96.57% success in CARLA parking, but only in simulation with oracle goal and pedestrian states.
Trajectoryguided control prediction for end-to-end autonomous driving: A simple yet strong baseline,
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ParkFormer: A Transformer-Based Parking Policy with Goal Embedding and Pedestrian-Aware Control
A Transformer parking policy with cross-attention goal fusion and a GRU pedestrian predictor achieves 96.57% success in CARLA parking, but only in simulation with oracle goal and pedestrian states.