5 citations · 6 across the 4 of their papers we have counts for
4 papers
Rectify, Don't Regret: On-Policy Closed-Loop Training for Multimodal Trajectory Prediction
Harsh Yadav, Christian Bohn, Tobias Meisen
Current trajectory prediction models are primarily trained in an open-loop manner, which often leads to covariate shift and compounding errors when deployed in real-world, closed-l…
Generative AI for Autonomous Driving: A Review
Katharina Winter, Abhishek Vivekanandan, Rupert Polley +17
Generative AI (GenAI) is rapidly advancing the field of Autonomous Driving (AD), extending beyond traditional applications in text, image, and video generation. We explore how gene…
LMFormer: Lane based Motion Prediction Transformer
Harsh Yadav, Maximilian Schaefer, Kun Zhao +1
Motion prediction plays an important role in autonomous driving. This study presents LMFormer, a lane-aware transformer network for trajectory prediction tasks. In contrast to prev…
CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention
Harsh Yadav, Maximilian Schaefer, Kun Zhao +1
Motion prediction is an important aspect for Autonomous Driving (AD) and Advance Driver Assistance Systems (ADAS). Current state-of-the-art motion prediction methods rely on High D…