20 citations · 44 across the 24 of their papers we have counts for
8 papers · 1 filter
Accelerating Large-scale Bundle Adjustment for LiDAR Mapping via Parallel Computing
Yixi Cai, Rundong Li, Yuhan Xie +3
LiDAR bundle adjustment is widely utilized in mapping to construct globally consistent point cloud maps. In this paper, we propose the first fully parallel computing framework to a…
BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps
Mingkai Jia, Qingwen Zhang, Bowen Yang +3
Global point clouds that correctly represent the static environment features can facilitate accurate localization and robust path planning. However, dynamic objects introduce undes…
DUFOMap: Efficient Dynamic Awareness Mapping
Daniel Duberg, Qingwen Zhang, MingKai Jia +1
The dynamic nature of the real world is one of the main challenges in robotics. The first step in dealing with it is to detect which parts of the world are dynamic. A typical bench…
RMP: A Random Mask Pretrain Framework for Motion Prediction
Yi Yang, Qingwen Zhang, Thomas Gilles +2
As the pretraining technique is growing in popularity, little work has been done on pretrained learning-based motion prediction methods in autonomous driving. In this paper, we pro…
A Dynamic Points Removal Benchmark in Point Cloud Maps
Qingwen Zhang, Daniel Duberg, Ruoyu Geng +3
In the field of robotics, the point cloud has become an essential map representation. From the perspective of downstream tasks like localization and global path planning, points co…
Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model
Yingbing Chen, Ren Xin, Jie Cheng +4
Safely interacting with other traffic participants is one of the core requirements for autonomous driving, especially in intersections and occlusions. Most existing approaches are…
Real-time Neural Dense Elevation Mapping for Urban Terrain with Uncertainty Estimations
Bowen Yang, Qingwen Zhang, Ruoyu Geng +2
Having good knowledge of terrain information is essential for improving the performance of various downstream tasks on complex terrains, especially for the locomotion and navigatio…
Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement
Cheng Jie, Chen Yingbing, Zhang Qingwen +2
Real-time kinodynamic trajectory planning in dynamic environments is critical yet challenging for autonomous driving. In this letter, we propose an efficient trajectory planning sy…