97 citations · 199 across the 6 of their papers we have counts for
6 papers
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud
Zheng Fang, Sifan Zhou, Yubo Cui +1
3D single object tracking is a key issue for autonomous following robot, where the robot should robustly track and accurately localize the target for efficient following. In this p…
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
Jiayao Shan, Sifan Zhou, Zheng Fang +1
3D single object tracking is a key issue for robotics. In this paper, we propose a transformer module called Point-Track-Transformer (PTT) for point cloud-based 3D single object tr…
Improved Signed Distance Function for 2D Real-time SLAM and Accurate Localization
Xingyin Fu, Zheng Fang, Xizhen Xiao +2
Accurate mapping and localization are very important for many industrial robotics applications. In this paper, we propose an improved Signed Distance Function (SDF) for both 2D SLA…
TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint
Shibo Zhao, Peng Wang, Hengrui Zhang +2
To achieve robust motion estimation in visually degraded environments, thermal odometry has been an attraction in the robotics community. However, most thermal odometry methods are…
Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition
Delei Kong, Zheng Fang, Haojia Li +3
Traditional visual place recognition (VPR) methods generally use frame-based cameras, which is easy to fail due to dramatic illumination changes or fast motions. In this paper, we…
A Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments
Shibo Zhao, Zheng Fang, HaoLai Li +1
In this paper, we propose a novel laser-inertial odometry and mapping method to achieve real-time, low-drift and robust pose estimation in large-scale highway environments. The pro…