arXiv:2206.10041
공식 코드 · Papers with Code
MPA: MultiPath++ Based Architecture for Motion Prediction
원문 초록
Autonomous driving technology is developing rapidly and nowadays first autonomous rides are being provided in city areas. This requires the highest standards for the safety and reliability of the technology. Motion prediction part of the general self-driving pipeline plays a crucial role in providing these qualities. In this work we present one of the solutions for Waymo Motion Prediction Challenge 2022 based on MultiPath++ ranked the 3rd as of May, 26 2022. Our source code is publicly available on GitHub.
함께 살펴볼 논문
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TrajFlow: Multi-modal Motion Prediction via Flow Matching
GRIP: Graph-based Interaction-aware Trajectory Prediction
Where, What, Why: Towards Explainable Driver Attention Prediction
Out-of-Distribution Semantic Occupancy Prediction
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model
토론
이 논문과 연결된 포럼 글이 아직 없습니다.