Cooperative tracking of moving objects with multiple mobile robots using in-vehicle laser scanner in GNSS-denied environments

This paper presents a laser-based tracking (estimation of pose and size) of moving objects using multiple mobile robots in Global-navigation-satellite-system (GNSS)-denied environments. Each robot is equipped with a multilayer laser scanner and detects moving objects, such as people, cars, and bicyc...

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Main Authors: Shota KANAKI, Masafumi HASHIMOTO, Yuto YODEN, Kazuhiko TAKAHASHI
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2017-09-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/transjsme/83/854/83_17-00138/_pdf/-char/en
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author Shota KANAKI
Masafumi HASHIMOTO
Yuto YODEN
Kazuhiko TAKAHASHI
author_facet Shota KANAKI
Masafumi HASHIMOTO
Yuto YODEN
Kazuhiko TAKAHASHI
author_sort Shota KANAKI
collection DOAJ
description This paper presents a laser-based tracking (estimation of pose and size) of moving objects using multiple mobile robots in Global-navigation-satellite-system (GNSS)-denied environments. Each robot is equipped with a multilayer laser scanner and detects moving objects, such as people, cars, and bicycles, in its own laser-scanned images by applying an occupancy-grid-based method. It then sends measurement information related to the moving objects to a central server. The central server estimates the objects’ poses (positions and velocities) and sizes from the measurement information using Bayesian filter. In this cooperative-tracking method, the nearby robots always share their tracking information, allowing tracking of invisible or partially visible objects. To perform a reliable cooperative tracking, robots have to correctly identify their relative pose. To do so in GNSS-denied environments, the relative pose is estimated by scan matching using laser measurements captured by both sensor nodes. Such cooperative scan matching is performed by 4-points-congruent-sets (4PCS)-matching-based coarse registration and Iterative-closest-point (ICP)-based fine registration methods. The experimental results of tracking a car, a motorcycle, and a pedestrian with two robots in an outdoor GNSS-denied environment validate the proposed method.
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spelling doaj.art-0fe3c0f9af0a4eb3a6a53dd3b172c8462022-12-22T02:47:23ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612017-09-018385417-0013817-0013810.1299/transjsme.17-00138transjsmeCooperative tracking of moving objects with multiple mobile robots using in-vehicle laser scanner in GNSS-denied environmentsShota KANAKI0Masafumi HASHIMOTO1Yuto YODEN2Kazuhiko TAKAHASHI3Graduate School of Doshisha UniversityFaculty of Science and Engineering, Doshisha UniversityGraduate School of Doshisha UniversityFaculty of Science and Engineering, Doshisha UniversityThis paper presents a laser-based tracking (estimation of pose and size) of moving objects using multiple mobile robots in Global-navigation-satellite-system (GNSS)-denied environments. Each robot is equipped with a multilayer laser scanner and detects moving objects, such as people, cars, and bicycles, in its own laser-scanned images by applying an occupancy-grid-based method. It then sends measurement information related to the moving objects to a central server. The central server estimates the objects’ poses (positions and velocities) and sizes from the measurement information using Bayesian filter. In this cooperative-tracking method, the nearby robots always share their tracking information, allowing tracking of invisible or partially visible objects. To perform a reliable cooperative tracking, robots have to correctly identify their relative pose. To do so in GNSS-denied environments, the relative pose is estimated by scan matching using laser measurements captured by both sensor nodes. Such cooperative scan matching is performed by 4-points-congruent-sets (4PCS)-matching-based coarse registration and Iterative-closest-point (ICP)-based fine registration methods. The experimental results of tracking a car, a motorcycle, and a pedestrian with two robots in an outdoor GNSS-denied environment validate the proposed method.https://www.jstage.jst.go.jp/article/transjsme/83/854/83_17-00138/_pdf/-char/enmoving-object trackingmulti-mobile robotslaser scannercooperative trackingscan matchinggnss-denied environment
spellingShingle Shota KANAKI
Masafumi HASHIMOTO
Yuto YODEN
Kazuhiko TAKAHASHI
Cooperative tracking of moving objects with multiple mobile robots using in-vehicle laser scanner in GNSS-denied environments
Nihon Kikai Gakkai ronbunshu
moving-object tracking
multi-mobile robots
laser scanner
cooperative tracking
scan matching
gnss-denied environment
title Cooperative tracking of moving objects with multiple mobile robots using in-vehicle laser scanner in GNSS-denied environments
title_full Cooperative tracking of moving objects with multiple mobile robots using in-vehicle laser scanner in GNSS-denied environments
title_fullStr Cooperative tracking of moving objects with multiple mobile robots using in-vehicle laser scanner in GNSS-denied environments
title_full_unstemmed Cooperative tracking of moving objects with multiple mobile robots using in-vehicle laser scanner in GNSS-denied environments
title_short Cooperative tracking of moving objects with multiple mobile robots using in-vehicle laser scanner in GNSS-denied environments
title_sort cooperative tracking of moving objects with multiple mobile robots using in vehicle laser scanner in gnss denied environments
topic moving-object tracking
multi-mobile robots
laser scanner
cooperative tracking
scan matching
gnss-denied environment
url https://www.jstage.jst.go.jp/article/transjsme/83/854/83_17-00138/_pdf/-char/en
work_keys_str_mv AT shotakanaki cooperativetrackingofmovingobjectswithmultiplemobilerobotsusinginvehiclelaserscanneringnssdeniedenvironments
AT masafumihashimoto cooperativetrackingofmovingobjectswithmultiplemobilerobotsusinginvehiclelaserscanneringnssdeniedenvironments
AT yutoyoden cooperativetrackingofmovingobjectswithmultiplemobilerobotsusinginvehiclelaserscanneringnssdeniedenvironments
AT kazuhikotakahashi cooperativetrackingofmovingobjectswithmultiplemobilerobotsusinginvehiclelaserscanneringnssdeniedenvironments