2 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
PriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors
Rongxuan Wang, Xin Lu, Xiaoyang Liu +3
Online vectorized High-Definition (HD) map construction is crucial for subsequent prediction and planning tasks in autonomous driving. Following MapTR paradigm, recent works have m…
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection
Zhili Chen, Shuangjie Xu, Maosheng Ye +4
The Bird's-Eye-View (BEV) representation is a critical factor that directly impacts the 3D object detection performance, but the traditional BEV grid representation induces quadrat…
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
Xuechao Chen, Shuangjie Xu, Xiaoyi Zou +3
LiDAR-based semantic perception tasks are critical yet challenging for autonomous driving. Due to the motion of objects and static/dynamic occlusion, temporal information plays an…
From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion
Rui Wan, Shuangjie Xu, Wei Wu +2
LiDAR and cameras are two complementary sensors for 3D perception in autonomous driving. LiDAR point clouds have accurate spatial and geometry information, while RGB images provide…
Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic Segmentation
Shuangjie Xu, Rui Wan, Maosheng Ye +2
Two major challenges of 3D LiDAR Panoptic Segmentation (PS) are that point clouds of an object are surface-aggregated and thus hard to model the long-range dependency especially fo…