Poster: Fast Field-of-View Expansion for Collaborative Object Detection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ryu, Junhyeong | - |
dc.contributor.author | Paek, Jeongyeup | - |
dc.date.accessioned | 2024-07-22T07:01:09Z | - |
dc.date.available | 2024-07-22T07:01:09Z | - |
dc.date.issued | 2024-06 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/75044 | - |
dc.description.abstract | As interest in autonomous driving and advanced driver-assistance systems (ADAS) has grown, various sensing technologies have been developed to accurately determine the position and situation of surrounding vehicles and objects. In particular, light detection and ranging (LiDAR) sensors have attracted attention and are widely used in autonomous driving and ADAS because of their accuracy and reliability. However, when LiDAR sensors are used on a single vehicle, they can encounter blind spots caused by obstacles, which limits the detection of the environment. To overcome this issue, a method that can register and identify objects using LiDAR data from multiple vehicles in real-time is needed. Conventional artificial intelligence and iterative closest point (ICP) approaches need faster processing speed for practical use. Therefore, this work proposes an object-based single-point ICP (SP-ICP) which enables faster processing while maintaining accuracy using only a single point centered on each of the objects. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM. | - |
dc.format.extent | 2 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | Poster: Fast Field-of-View Expansion for Collaborative Object Detection | - |
dc.type | Article | - |
dc.identifier.doi | 10.1145/3643832.3661420 | - |
dc.identifier.bibliographicCitation | MOBISYS 2024 - Proceedings of the 2024 22nd Annual International Conference on Mobile Systems, Applications and Services, pp 684 - 685 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85196139239 | - |
dc.citation.endPage | 685 | - |
dc.citation.startPage | 684 | - |
dc.citation.title | MOBISYS 2024 - Proceedings of the 2024 22nd Annual International Conference on Mobile Systems, Applications and Services | - |
dc.type.docType | Conference paper | - |
dc.subject.keywordAuthor | collaborative sensing | - |
dc.subject.keywordAuthor | field-of-view expansion | - |
dc.subject.keywordAuthor | object detection | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.