5 citations · 12 across the 5 of their papers we have counts for
8 papers
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
Yang You, Yujing Lou, Chengkun Li +5
Detecting 3D objects keypoints is of great interest to the areas of both graphics and computer vision. There have been several 2D and 3D keypoint datasets aiming to address this pr…
Illumination Robust Loop Closure Detection with the Constraint of Pose
Deli Yan, Wenkun Tuo, Weiming Wang +1
Background: Loop closure detection is a crucial part in robot navigation and simultaneous location and mapping (SLAM). Appearance-based loop closure detection still faces many chal…
Invariant Cubature Kalman Filter for Monocular Visual Inertial Odometry with Line Features
Deli Yan, Chunhui Wu, Weiming Wang +2
To achieve robust and accurate state estimation for robot navigation, we propose a novel Visual Inertial Odometry(VIO) algorithm with line features upon the theory of invariant Kal…
Object-Agnostic Suction Grasp Affordance Detection in Dense Cluster Using Self-Supervised Learning.docx
Mingshuo Han, Wenhai Liu., Zhenyu Pan +4
In this paper we study grasp problem in dense cluster, a challenging task in warehouse logistics scenario. By introducing a two-step robust suction affordance detection method, we…
Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge
Teng Xue, Wenhai Liu, Mingshuo Han +4
Robotic grasp detection is a fundamental capability for intelligent manipulation in unstructured environments. Previous work mainly employed visual and tactile fusion to achieve st…
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter
Quanquan Shao, Jie Hu, Weiming Wang +4
This paper focuses on robotic picking tasks in cluttered scenario. Because of the diversity of poses, types of stack and complicated background in bin picking situation, it is much…