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LiDAR-based Vehicle Localization and Velocity Measurement in Long Corridors
This paper focuses on improving the roadside vehicle localization and speed measurement system for a security inspection company. First, a horizontally mounted LiDAR is added to the original system to meet the demand for whole-process vehicle detection in long corridors. A simulation environment is...
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creator | Tu, Junjie Pan, Yemo Lv, Hongbo |
description | This paper focuses on improving the roadside vehicle localization and speed measurement system for a security inspection company. First, a horizontally mounted LiDAR is added to the original system to meet the demand for whole-process vehicle detection in long corridors. A simulation environment is created using Webots, providing necessary data sources to test and validate algorithms, with ROS2(Robot Operating System 2) to enhancing real-time system performance and task prioritization management. Then, dynamic threshold is employed to identify the cab-trailer separation of truck and prevent the radiation exposure from X-ray machine to the driver during inspection. A weighted average fusion method, incorporating distance and intensity, is used to enhance the accuracy of the system's detection scheme. Finally, experimental results show that the improved system has better accuracy, stability, real-time performance, and portability. |
doi_str_mv | 10.1109/IRCE62232.2024.10739826 |
format | conference_proceeding |
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First, a horizontally mounted LiDAR is added to the original system to meet the demand for whole-process vehicle detection in long corridors. A simulation environment is created using Webots, providing necessary data sources to test and validate algorithms, with ROS2(Robot Operating System 2) to enhancing real-time system performance and task prioritization management. Then, dynamic threshold is employed to identify the cab-trailer separation of truck and prevent the radiation exposure from X-ray machine to the driver during inspection. A weighted average fusion method, incorporating distance and intensity, is used to enhance the accuracy of the system's detection scheme. Finally, experimental results show that the improved system has better accuracy, stability, real-time performance, and portability.</description><identifier>EISSN: 2770-4815</identifier><identifier>EISBN: 9798350352399</identifier><identifier>DOI: 10.1109/IRCE62232.2024.10739826</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Companies ; Inspection ; Laser radar ; Location awareness ; long corridors ; multi-LiDAR ; Real-time systems ; relay speed measurement ; ROS2 ; Security ; Soft sensors ; vehicle location ; Vehicles ; Velocity measurement</subject><ispartof>International Conference on Intelligent Robotic and Control Engineering (Online), 2024, p.253-256</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10739826$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10739826$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tu, Junjie</creatorcontrib><creatorcontrib>Pan, Yemo</creatorcontrib><creatorcontrib>Lv, Hongbo</creatorcontrib><title>LiDAR-based Vehicle Localization and Velocity Measurement in Long Corridors</title><title>International Conference on Intelligent Robotic and Control Engineering (Online)</title><addtitle>IRCE</addtitle><description>This paper focuses on improving the roadside vehicle localization and speed measurement system for a security inspection company. First, a horizontally mounted LiDAR is added to the original system to meet the demand for whole-process vehicle detection in long corridors. A simulation environment is created using Webots, providing necessary data sources to test and validate algorithms, with ROS2(Robot Operating System 2) to enhancing real-time system performance and task prioritization management. Then, dynamic threshold is employed to identify the cab-trailer separation of truck and prevent the radiation exposure from X-ray machine to the driver during inspection. A weighted average fusion method, incorporating distance and intensity, is used to enhance the accuracy of the system's detection scheme. Finally, experimental results show that the improved system has better accuracy, stability, real-time performance, and portability.</description><subject>Accuracy</subject><subject>Companies</subject><subject>Inspection</subject><subject>Laser radar</subject><subject>Location awareness</subject><subject>long corridors</subject><subject>multi-LiDAR</subject><subject>Real-time systems</subject><subject>relay speed measurement</subject><subject>ROS2</subject><subject>Security</subject><subject>Soft sensors</subject><subject>vehicle location</subject><subject>Vehicles</subject><subject>Velocity measurement</subject><issn>2770-4815</issn><isbn>9798350352399</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2024</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNqFjrFuwjAUAE0lJFDJHyDhH0j6_JyQeEQpFRWwIMSKTHjAQ8Gu7HSgX99WonOnG-6GE2KiIFMKzMv7pp5PETVmCJhnCkptKpz2RGJKU-kCdIHamCcxxLKENK9UMRBJjFcA0Ai5UmYolit-nW3Sg410lDu6cNOSXPnGtvxlO_ZOWvcrWt9wd5drsvEz0I1cJ9n9hO4sax8CH32II9E_2TZS8uCzGL_Nt_UiZSLafwS-2XDf_33qf_Q38_dAfg</recordid><startdate>20240807</startdate><enddate>20240807</enddate><creator>Tu, Junjie</creator><creator>Pan, Yemo</creator><creator>Lv, Hongbo</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20240807</creationdate><title>LiDAR-based Vehicle Localization and Velocity Measurement in Long Corridors</title><author>Tu, Junjie ; Pan, Yemo ; Lv, Hongbo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_107398263</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Companies</topic><topic>Inspection</topic><topic>Laser radar</topic><topic>Location awareness</topic><topic>long corridors</topic><topic>multi-LiDAR</topic><topic>Real-time systems</topic><topic>relay speed measurement</topic><topic>ROS2</topic><topic>Security</topic><topic>Soft sensors</topic><topic>vehicle location</topic><topic>Vehicles</topic><topic>Velocity measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Tu, Junjie</creatorcontrib><creatorcontrib>Pan, Yemo</creatorcontrib><creatorcontrib>Lv, Hongbo</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tu, Junjie</au><au>Pan, Yemo</au><au>Lv, Hongbo</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>LiDAR-based Vehicle Localization and Velocity Measurement in Long Corridors</atitle><btitle>International Conference on Intelligent Robotic and Control Engineering (Online)</btitle><stitle>IRCE</stitle><date>2024-08-07</date><risdate>2024</risdate><spage>253</spage><epage>256</epage><pages>253-256</pages><eissn>2770-4815</eissn><eisbn>9798350352399</eisbn><abstract>This paper focuses on improving the roadside vehicle localization and speed measurement system for a security inspection company. First, a horizontally mounted LiDAR is added to the original system to meet the demand for whole-process vehicle detection in long corridors. A simulation environment is created using Webots, providing necessary data sources to test and validate algorithms, with ROS2(Robot Operating System 2) to enhancing real-time system performance and task prioritization management. Then, dynamic threshold is employed to identify the cab-trailer separation of truck and prevent the radiation exposure from X-ray machine to the driver during inspection. A weighted average fusion method, incorporating distance and intensity, is used to enhance the accuracy of the system's detection scheme. Finally, experimental results show that the improved system has better accuracy, stability, real-time performance, and portability.</abstract><pub>IEEE</pub><doi>10.1109/IRCE62232.2024.10739826</doi></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | EISSN: 2770-4815 |
ispartof | International Conference on Intelligent Robotic and Control Engineering (Online), 2024, p.253-256 |
issn | 2770-4815 |
language | eng |
recordid | cdi_ieee_primary_10739826 |
source | IEEE Xplore All Conference Series |
subjects | Accuracy Companies Inspection Laser radar Location awareness long corridors multi-LiDAR Real-time systems relay speed measurement ROS2 Security Soft sensors vehicle location Vehicles Velocity measurement |
title | LiDAR-based Vehicle Localization and Velocity Measurement in Long Corridors |
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