activity
20172023
most citedA Survey of Data Fusion in Smart City Applications

278 citations · 315 across the 7 of their papers we have counts for

collaborators

6 papers

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.NI2020

Collaborative SLAM based on Wifi Fingerprint Similarity and Motion Information

Ran Liu, Sumudu Hasala Marakkalage, Madhushanka Padmal +4

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

eess.SP2019278 cited

A Survey of Data Fusion in Smart City Applications

Billy Pik Lik Lau, Sumudu Hasala Marakkalage, Yuren Zhou +4

The advancement of various research sectors such as Internet of Things (IoT), Machine Learning, Data Mining, Big Data, and Communication Technology has shed some light in transform…

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…

cs.NI20171 cited

Indoor Positioning using Similarity-based Sequence and Dead Reckoning without Training

Ran Liu, Chau Yuen, Tri-Nhut Do +3

For the traditional fingerprinting-based positioning approach, it is essential to collect measurements at known locations as reference fingerprints during a training phase, which c…