4 citations · 7 across the 15 of their papers we have counts for
5 papers · 1 filter
LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis
Kai Huang, Junqiao Zhao, Jiaye Lin +4
Uncertainty in LiDAR measurements, stemming from factors such as range sensing, is crucial for LIO (LiDAR-Inertial Odometry) systems as it affects the accurate weighting in the los…
N-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping
Shuangfu Song, Junqiao Zhao, Kai Huang +3
Accurate and dense mapping in large-scale environments is essential for various robot applications. Recently, implicit neural signed distance fields (SDFs) have shown promising adv…
LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Kai Huang, Junqiao Zhao, Zhongyang Zhu +2
Local geometric information, i.e. normal and distribution of points, is crucial for LiDAR-based simultaneous localization and mapping (SLAM) because it provides constraints for dat…
Scale Estimation with Dual Quadrics for Monocular Object SLAM
Shuangfu Song, Junqiao Zhao, Tiantian Feng +2
The scale ambiguity problem is inherently unsolvable to monocular SLAM without the metric baseline between moving cameras. In this paper, we present a novel scale estimation approa…
TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China
Junqiao Zhao, Chen Ye, Yan Wu +16
TiEV is an autonomous driving platform implemented by Tongji University of China. The vehicle is drive-by-wire and is fully powered by electricity. We devised the software system o…