activity
20162023
most citedUWB Radar SLAM: an Anchorless Approach in Vision Denied Indoor Environments

33 citations · 61 across the 10 of their papers we have counts for

collaborators
Showing cs.ROShow all

6 papers · 1 filter

cs.RO202333 cited

UWB Radar SLAM: an Anchorless Approach in Vision Denied Indoor Environments

H. A. G. C. Premachandra, Ran Liu, Chau Yuen +1

LiDAR and cameras are frequently used as sensors for simultaneous localization and mapping (SLAM). However, these sensors are prone to failure under low visibility (e.g. smoke) or…

cs.RO202324 cited

Exploiting Radio Fingerprints for Simultaneous Localization and Mapping

Ran Liu, Billy Pik Lik Lau, Khairuldanial Ismail +6

Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments,…

cs.RO2021

Collaborative Radio SLAM for Multiple Robots based on WiFi Fingerprint Similarity

Ran Liu, Zhenghong Qin, Hua Zhang +6

Simultaneous Localization and Mapping (SLAM) enables autonomous robots to navigate and execute their tasks through unknown environments. However, performing SLAM in large environme…

cs.RO20212 cited

Relative Localization of Mobile Robots with Multiple Ultra-WideBand Ranging Measurements

Zhiqiang Cao, Ran Liu, Chau Yuen +4

Relative localization between autonomous robots without infrastructure is crucial to achieve their navigation, path planning, and formation in many applications, such as emergency…

cs.RO2021

Cost-effective Mapping of Mobile Robot Based on the Fusion of UWB and Short-range 2D LiDAR

Ran Liu, Yongping He, Chau Yuen +4

Environment mapping is an essential prerequisite for mobile robots to perform different tasks such as navigation and mission planning. With the availability of low-cost 2D LiDARs,…

cs.RO20191 cited

Crowd-sensing Simultaneous Localization and Radio Fingerprint Mapping based on Probabilistic Similarity Models

Ran Liu, Sumudu Hasala Marakkalage, Madhushanka Padmal +4

Simultaneous localization and mapping (SLAM) has been richly researched in past years particularly with regard to range-based or visual-based sensors. Instead of deploying dedicate…