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...
Main Authors: | , , , |
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Format: | Article |
Language: | Japanese |
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The Japan Society of Mechanical Engineers
2017-09-01
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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. |
first_indexed | 2024-04-13T12:14:33Z |
format | Article |
id | doaj.art-0fe3c0f9af0a4eb3a6a53dd3b172c846 |
institution | Directory Open Access Journal |
issn | 2187-9761 |
language | Japanese |
last_indexed | 2024-04-13T12:14:33Z |
publishDate | 2017-09-01 |
publisher | The Japan Society of Mechanical Engineers |
record_format | Article |
series | Nihon Kikai Gakkai ronbunshu |
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 |