5 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving
Wenchao Sun, Xuewu Lin, Keyu Chen +4
End-to-end multi-modal planning has been widely adopted to model the uncertainty of driving behavior, typically by scoring candidate trajectories and selecting the optimal one. Exi…
BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence
Xuewu Lin, Tianwei Lin, Lichao Huang +2
In embodied intelligence systems, a key component is 3D perception algorithm, which enables agents to understand their surrounding environments. Previous algorithms primarily rely…
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction
Longzhong Lin, Xuewu Lin, Tianwei Lin +3
Motion prediction is a crucial task in autonomous driving, and one of its major challenges lands in the multimodality of future behaviors. Many successful works have utilized mixtu…
Sparse4D v3: Advancing End-to-End 3D Detection and Tracking
Xuewu Lin, Zixiang Pei, Tianwei Lin +2
In autonomous driving perception systems, 3D detection and tracking are the two fundamental tasks. This paper delves deeper into this field, building upon the Sparse4D framework. W…