13 citations · 14 across the 4 of their papers we have counts for
4 papers
ParkingE2E: Camera-based End-to-end Parking Network, from Images to Planning
Changze Li, Ziheng Ji, Zhe Chen +2
Autonomous parking is a crucial task in the intelligent driving field. Traditional parking algorithms are usually implemented using rule-based schemes. However, these methods are l…
MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps
Hang Wu, Zhenghao Zhang, Siyuan Lin +4
Robust localization is the cornerstone of autonomous driving, especially in challenging urban environments where GPS signals suffer from multipath errors. Traditional localization…
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight
Hang Wu, Zhenghao Zhang, Siyuan Lin +5
Bird's-eye-view (BEV) representation is crucial for the perception function in autonomous driving tasks. It is difficult to balance the accuracy, efficiency and range of BEV repres…
Crowd-Sourced NeRF: Collecting Data from Production Vehicles for 3D Street View Reconstruction
Tong Qin, Changze Li, Haoyang Ye +4
Recently, Neural Radiance Fields (NeRF) achieved impressive results in novel view synthesis. Block-NeRF showed the capability of leveraging NeRF to build large city-scale models. F…