activity
20192021
most citedF-LOAM: Fast LiDAR Odometry And Mapping

419 citations · 964 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2021★ 7 cited

Robust Glare Detection: Review, Analysis, and Dataset Release

Mahdi Abolfazli Esfahani, Han Wang

Sun Glare widely exists in the images captured by unmanned ground and aerial vehicles performing in outdoor environments. The existence of such artifacts in images will result in w…

cs.CV2021★ 1 cited

Visual Enhanced 3D Point Cloud Reconstruction from A Single Image

Guiju Ping, Mahdi Abolfazli Esfahani, Han Wang

Solving the challenging problem of 3D object reconstruction from a single image appropriately gives existing technologies the ability to perform with a single monocular camera rath…

cs.RO2021★ 419 cited

F-LOAM: Fast LiDAR Odometry And Mapping

Han Wang, Chen Wang, Chun-Lin Chen +1

Simultaneous Localization and Mapping (SLAM) has wide robotic applications such as autonomous driving and unmanned aerial vehicles. Both computational efficiency and localization a…

cs.RO2021★ 68 cited

Lightweight 3-D Localization and Mapping for Solid-State LiDAR

Han Wang, Chen Wang, Lihua Xie

The LIght Detection And Ranging (LiDAR) sensor has become one of the most important perceptual devices due to its important role in simultaneous localization and mapping (SLAM). Ex…

cs.RO2021★ 132 cited

Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment

Han Wang, Chen Wang, Lihua Xie

Simultaneous Localization And Mapping (SLAM) is a task to estimate the robot location and to reconstruct the environment based on observation from sensors such as LIght Detection A…

cs.CV2020★ 18 cited

Online Visual Place Recognition via Saliency Re-identification

Han Wang, Chen Wang, Lihua Xie

As an essential component of visual simultaneous localization and mapping (SLAM), place recognition is crucial for robot navigation and autonomous driving. Existing methods often f…

cs.RO2020★ 305 cited

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

Han Wang, Chen Wang, Lihua Xie

Loop closure detection is an essential and challenging problem in simultaneous localization and mapping (SLAM). It is often tackled with light detection and ranging (LiDAR) sensor…

cs.RO2020★ 9 cited

Feasible Computationally Efficient Path Planning for UAV Collision Avoidance

Han Wang, Muqing Cao, Hao Jiang +1

This paper presents a robust computationally efficient real-time collision avoidance algorithm for Unmanned Aerial Vehicle (UAV), namely Memory-based Wall Following-Artificial Pote…

cs.CV2020★ 3 cited

Fast Loop Closure Detection via Binary Content

Han Wang, Juncheng Li, Maopeng Ran +1

Loop closure detection plays an important role in reducing localization drift in Simultaneous Localization And Mapping (SLAM). It aims to find repetitive scenes from historical dat…

cs.RO2019★ 2 cited

GMC: Grid Based Motion Clustering in Dynamic Environment

Handuo Zhang, Karunasekera Hasith, Han Wang

Conventional SLAM algorithms takes a strong assumption of scene motionlessness, which limits the application in real environments. This paper tries to tackle the challenging visual…