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Abhishek Patil

2 accepted papers

2020

DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning

CoRL 2020

We propose a Deep RObust Goal-Oriented trajectory prediction Network (DROGON) for accurate vehicle trajectory prediction by considering behavioral intentions of vehicles in traffic scenes. Our main insight is that the behavior (i.e., motion) of drivers can be reasoned from their high level possible

Cited by 0SourcePDFScholar
2019

The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes

ICRA 2019poster

3D multi-object detection and tracking are crucial for traffic scene understanding. However, the community pays less attention to these areas due to the lack of a standardized benchmark dataset to advance the field. Moreover, existing datasets (e.g., KITTI [1]) do not provide sufficient data and lab…

Cited by 326SourceScholar