30 citations · 55 across the 4 of their papers we have counts for
5 papers
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…
DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving
Wenchao Sun, Xuewu Lin, Keyu Chen +4
Camera sensor simulation serves as a critical role for autonomous driving (AD), e.g. evaluating vision-based AD algorithms. While existing approaches have leveraged generative mode…
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…
Sparse4D v2: Recurrent Temporal Fusion with Sparse Model
Xuewu Lin, Tianwei Lin, Zixiang Pei +2
Sparse algorithms offer great flexibility for multi-view temporal perception tasks. In this paper, we present an enhanced version of Sparse4D, in which we improve the temporal fusi…
Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
Xuewu Lin, Tianwei Lin, Zixiang Pei +2
Bird-eye-view (BEV) based methods have made great progress recently in multi-view 3D detection task. Comparing with BEV based methods, sparse based methods lag behind in performanc…