590 citations · 842 across the 24 of their papers we have counts for
7 papers · 1 filter
LINS: A Lidar-Inertial State Estimator for Robust and Efficient Navigation
Chao Qin, Haoyang Ye, Christian E. Pranata +3
We present LINS, a lightweight lidar-inertial state estimator, for real-time ego-motion estimation. The proposed method enables robust and efficient navigation for ground vehicles…
Optimal gridding and degridding in radio interferometry imaging
Haoyang Ye, Stephen F. Gull, Sze M. Tan +1
In radio interferometry imaging, the gridding procedure of convolving visibilities with a chosen gridding function is necessary to transform visibility values into uniformly sample…
Key Ingredients of Self-Driving Cars
Rui Fan, Jianhao Jiao, Haoyang Ye +3
Over the past decade, many research articles have been published in the area of autonomous driving. However, most of them focus only on a specific technological area, such as visua…
Automatic Calibration of Multiple 3D LiDARs in Urban Environments
Jianhao Jiao, Yang Yu, Qinghai Liao +2
Multiple LiDARs have progressively emerged on autonomous vehicles for rendering a wide field of view and dense measurements. However, the lack of precise calibration negatively aff…
Tightly Coupled 3D Lidar Inertial Odometry and Mapping
Haoyang Ye, Yuying Chen, Ming Liu
Ego-motion estimation is a fundamental requirement for most mobile robotic applications. By sensor fusion, we can compensate the deficiencies of stand-alone sensors and provide mor…
Hierarchical Trajectory Planning for Autonomous Driving in Low-speed Driving Scenarios Based on RRT and Optimization
Yuying Chen, Haoyang Ye, Ming Liu
Though great effort has been put into the study of path planning on urban roads and highways, few works have studied the driving strategy and trajectory planning in low-speed drivi…
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective
Lei Tai, Peng Yun, Yuying Chen +3
End-to-end visual-based imitation learning has been widely applied in autonomous driving. When deploying the trained visual-based driving policy, a deterministic command is usually…