activity
20192021
most citedIntensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment

132 citations · 210 across the 5 of their papers we have counts for

collaborators
Showing cs.ROShow all

6 papers · 1 filter

cs.RO20217 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.RO202168 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.RO2021132 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.RO2020

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

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.RO20192 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…