299 citations · 598 across the 6 of their papers we have counts for
6 papers
RoadPainter: Points Are Ideal Navigators for Topology transformER
Zhongxing Ma, Shuang Liang, Yongkun Wen +2
Topology reasoning aims to provide a precise understanding of road scenes, enabling autonomous systems to identify safe and efficient routes. In this paper, we present RoadPainter,…
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps
Yuzhe He, Shuang Liang, Xiaofei Rui +2
Accurate and reliable ego-localization is critical for autonomous driving. In this paper, we present EgoVM, an end-to-end localization network that achieves comparable localization…
A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Lin Li, Wendong Ding, Yongkun Wen +3
Pairwise point cloud registration is a critical task for many applications, which heavily depends on finding correct correspondences from the two point clouds. However, the low ove…
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving
Yao Zhou, Guowei Wan, Shenhua Hou +4
We present a visual localization framework based on novel deep attention aware features for autonomous driving that achieves centimeter level localization accuracy. Conventional ap…
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration
Weixin Lu, Guowei Wan, Yao Zhou +3
We present DeepICP - a novel end-to-end learning-based 3D point cloud registration framework that achieves comparable registration accuracy to prior state-of-the-art geometric meth…
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes
Guowei Wan, Xiaolong Yang, Renlan Cai +3
We present a robust and precise localization system that achieves centimeter-level localization accuracy in disparate city scenes. Our system adaptively uses information from compl…