From the 1 of 11 linked papers with an AI index.
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cs.CV2026
TerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations
Zikang Xiong, Weixin Li, Zhouchonghao Wu +6
The paper proposes a method to train end-to-end autonomous driving policies without expert demonstrations by pretraining a policy via self‑play in a fast vectorized simulator and t…
cs.CV2024
Pre-training on Synthetic Driving Data for Trajectory Prediction
Yiheng Li, Seth Z. Zhao, Chenfeng Xu +5
Accumulating substantial volumes of real-world driving data proves pivotal in the realm of trajectory forecasting for autonomous driving. Given the heavy reliance of current trajec…
cs.CV2024
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
Yixiao Wang, Chen Tang, Lingfeng Sun +8
Diffusion models are promising for joint trajectory prediction and controllable generation in autonomous driving, but they face challenges of inefficient inference steps and high c…