14 citations · 19 across the 4 of their papers we have counts for
6 papers
Four years of multi-modal odometry and mapping on the rail vehicles
Yusheng Wang, Weiwei Song, Yi Zhang +5
Precise, seamless, and efficient train localization as well as long-term railway environment monitoring is the essential property towards reliability, availability, maintainability…
Simultaneous Location of Rail Vehicles and Mapping of Environment with Multiple LiDARs
Yusheng Wang, Weiwei Song, Yidong Lou +3
Precise and real-time rail vehicle localization as well as railway environment monitoring is crucial for railroad safety. In this letter, we propose a multi-LiDAR based simultaneou…
Rail Vehicle Localization and Mapping with LiDAR-Vision-Inertial-GNSS Fusion
Yusheng Wang, Weiwei Song, Yidong Lou +4
In this paper, we present a global navigation satellite system (GNSS) aided LiDAR-visual-inertial scheme, RailLoMer-V, for accurate and robust rail vehicle localization and mapping…
RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion
Yusheng Wang, Yidong Lou, Yi Zhang +4
We present RailLoMer in this article, to achieve real-time accurate and robust odometry and mapping for rail vehicles. RailLoMer receives measurements from two LiDARs, an IMU, trai…
MetroLoc: Metro Vehicle Mapping and Localization with LiDAR-Camera-Inertial Integration
Yusheng Wang, Weiwei Song, Yi Zhang +3
We propose an accurate and robust multi-modal sensor fusion framework, MetroLoc, towards one of the most extreme scenarios, the large-scale metro vehicle localization and mapping.…
GM-Livox: An Integrated Framework for Large-Scale Map Construction with Multiple Non-repetitive Scanning LiDARs
Yusheng Wang, Yidong Lou, Weiwei Song +2
With the ability of providing direct and accurate enough range measurements, light detection and ranging (LiDAR) is playing an essential role in localization and detection for auto…