1 citations · 1 across the 6 of their papers we have counts for
6 papers
LP-ICP: General Localizability-Aware Point Cloud Registration for Robust Localization in Extreme Unstructured Environments
Haosong Yue, Qingyuan Xu, Fei Chen +2
The Iterative Closest Point (ICP) algorithm is a crucial component of LiDAR-based SLAM algorithms. However, its performance can be negatively affected in unstructured environments…
Real-time Local Feature with Global Visual Information Enhancement
Jinyu Miao, Haosong Yue, Zhong Liu +3
Local feature provides compact and invariant image representation for various visual tasks. Current deep learning-based local feature algorithms always utilize convolution neural n…
Center-of-Mass-based Robust Grasp Pose Adaptation Using RGBD Camera and Force/Torque Sensing
Shang Liu, Xiaobao Wei, Lulu Wang +3
Object dropping may occur when the robotic arm grasps objects with uneven mass distribution due to additional moments generated by objects' gravity. To solve this problem, we prese…
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection
Haosong Yue, Jinyu Miao, Weihai Chen +3
Localizing pre-visited places during long-term simultaneous localization and mapping, i.e. loop closure detection (LCD), is a crucial technique to correct accumulated inconsistenci…
Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments
Yuxin Tian, Jinyu MIao, Xingming Wu +3
Features play an important role in various visual tasks, especially in visual place recognition applied in perceptual changing environments. In this paper, we address the challenge…
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization
Dongjiang Li, Jinyu Miao, Xuesong Shi +9
Feature extraction plays an important role in visual localization. Unreliable features on dynamic objects or repetitive regions will interfere with feature matching and challenge i…