activity
20192026
most citedPALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation

19 citations · 30 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2026

Enhancing Inverse Perspective Mapping for Automatic Vectorized Road Map Generation

Hongji Liu, Linwei Zheng, Yongjian Li +4

In this study, we present a low-cost and unified framework for vectorized road mapping leveraging enhanced inverse perspective mapping (IPM). In this framework, Catmull-Rom splines…

cs.RO2025

Semantic-LiDAR-Inertial-Wheel Odometry Fusion for Robust Localization in Large-Scale Dynamic Environments

Haoxuan Jiang, Peicong Qian, Yusen Xie +4

Reliable, drift-free global localization presents significant challenges yet remains crucial for autonomous navigation in large-scale dynamic environments. In this paper, we introd…

cs.CV2024

CLRKDNet: Speeding up Lane Detection with Knowledge Distillation

Weiqing Qi, Guoyang Zhao, Fulong Ma +2

Road lanes are integral components of the visual perception systems in intelligent vehicles, playing a pivotal role in safe navigation. In lane detection tasks, balancing accuracy…

cs.CV2024★ 4 cited

Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

Fulong Ma, Weiqing Qi, Guoyang Zhao +5

3D lane detection is essential in autonomous driving as it extracts structural and traffic information from the road in three-dimensional space, aiding self-driving cars in logical…

cs.RO2024★ 19 cited

PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation

Xiangcheng Hu, Linwei Zheng, Jin Wu +7

Accurately generating ground truth (GT) trajectories is essential for Simultaneous Localization and Mapping (SLAM) evaluation, particularly under varying environmental conditions.…

cs.RO2022★ 2 cited

Monocular Camera Mapping with Pose-Guided Optimization: Enhancing Marking-Level HD Map Accuracy

Hongji Liu, Linwei Zheng, Xiaoyang Yan +4

Marking-level high-definition maps (HD maps) are of great significance for autonomous vehicles (AVs), especially in large-scale, appearance-changing scenarios where AVs rely on mar…

cs.RO2021★ 1 cited

On Bundle Adjustment for Multiview PointCloud Registration

Huaiyang Huang, Yuxiang Sun, Jin Wu +5

Multiview registration is used to estimate Rigid Body Transformations (RBTs) from multiple frames and reconstruct a scene with corresponding scans. Despite the success of pairwise…

cs.RO2019★ 1 cited

Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT

Umar Ozgunalp, Rui Fan, Shanshan Cheng +7

In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from the v-disparity map and, based…

cs.RO2019

Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape

Bohuan Xue, Jianhao Jiao, Yilong Zhu +4

Multi-LiDAR systems have been prevalently applied in modern autonomous vehicles to render a broad view of the environments. The rapid development of 5G wireless technologies has br…

cs.RO2019★ 2 cited

Low-Cost GPS-Aided LiDAR State Estimation and Map Building

Linwei Zheng, Yilong Zhu, Bohuan Xue +2

Using different sensors in an autonomous vehicle (AV) can provide multiple constraints to optimize AV location estimation. In this paper, we present a low-cost GPS-assisted LiDAR s…

cs.RO2019★ 1 cited

Real-Time, Environmentally-Robust 3D LiDAR Localization

Yilong Zhu, Bohuan Xue, Linwei Zheng +3

Localization, or position fixing, is an important problem in robotics research. In this paper, we propose a novel approach for long-term localization in a changing environment usin…