21 citations · 23 across the 5 of their papers we have counts for
6 papers
UrbanV2X: A Multisensory Vehicle-Infrastructure Dataset for Cooperative Navigation in Urban Areas
Qijun Qin, Ziqi Zhang, Yihan Zhong +9
Due to the limitations of a single autonomous vehicle, Cellular Vehicle-to-Everything (C-V2X) technology opens a new window for achieving fully autonomous driving through sensor in…
Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Baoshan Song, Xiao Xia, Penggao Yan +3
Accurate calibration of intrinsic (odometer scaling factors) and extrinsic parameters (IMU-odometer translation and rotation) is essential for autonomous ground vehicle localizatio…
Two stage GNSS outlier detection for factor graph optimization based GNSS-RTK/INS/odometer fusion
Baoshan Song, Penggao Yan, Xiao Xia +3
Reliable GNSS positioning in complex environments remains a critical challenge due to non-line-of-sight (NLOS) propagation, multipath effects, and frequent signal blockages. These…
pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons
Runzhi Hu, Penghui Xu, Yihan Zhong +1
Artificial intelligence (AI) is revolutionizing numerous fields, with increasing applications in Global Navigation Satellite Systems (GNSS) positioning algorithms in intelligent tr…
ECMD: An Event-Centric Multisensory Driving Dataset for SLAM
Peiyu Chen, Weipeng Guan, Feng Huang +4
Leveraging multiple sensors enhances complex environmental perception and increases resilience to varying luminance conditions and high-speed motion patterns, achieving precise loc…
Trajectory Smoothing Using GNSS/PDR Integration Via Factor Graph Optimization in Urban Canyons
Yihan Zhong, Weisong Wen, Li-Ta Hsu
Accurate and smooth global navigation satellite system (GNSS) positioning for pedestrians in urban canyons is still a challenge due to the multipath effects and the non-light-of-si…