Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 선우명호 | - |
dc.date.accessioned | 2019-12-05T14:34:36Z | - |
dc.date.available | 2019-12-05T14:34:36Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v. 19, no. 2, page. 598-612 | en_US |
dc.identifier.issn | 1524-9050 | - |
dc.identifier.issn | 1558-0016 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8168365 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/117573 | - |
dc.description.abstract | Detection and tracking of moving objects is one of the most essential functions of autonomous cars. In order to estimate the dynamic information of a moving object accurately, laser scanners are widely used for their highly accurate distance data. However, these data only represent the surface of an object facing the sensor and changes the appearance of an object over time. This change produces unexpected tracking errors of estimated dynamic states. In this paper, in order to minimize the tracking error caused by appearance changes, a tracking algorithm based on L-shaped model switching is proposed. The suggested algorithm is validated in real traffic experiments where position, velocity, and heading angle error were measured by using precise GPS. The L-shape tracking algorithm successfully mitigated the effect of appearance changes and improved estimation performance. | en_US |
dc.description.sponsorship | This work was supported in part by the BK21 Plus Program through the Ministry of Education, South Korea, under Grant 22A20130000045, in part by the Industrial Strategy Technology Development Program under Grant 10039673, Grant 10060068, and Grant 10042633, in part by the System Industrial Strategic Technology Development Program under Grant 10079961, in part by the International Collaborative Research and Development Program through the Ministry of Trade, Industry and Energy (MOTIE Korea) under Grant N0001992, and in part by the Energy Resource Research and Development Program through the Ministry of Knowledge Economy, South Korea, under Grant 2006ETR11P091C. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Vehicle tracking | en_US |
dc.subject | L-shape model | en_US |
dc.subject | modeling switching filter | en_US |
dc.subject | laser scanner | en_US |
dc.title | L-Shape Model Switching-Based Precise Motion Tracking of Moving Vehicles Using Laser Scanners | en_US |
dc.type | Article | en_US |
dc.relation.no | 2 | - |
dc.relation.volume | 19 | - |
dc.identifier.doi | 10.1109/TITS.2017.2771820 | - |
dc.relation.page | 598-612 | - |
dc.relation.journal | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |
dc.contributor.googleauthor | Kim, Dongchul | - |
dc.contributor.googleauthor | Jo, Kichun | - |
dc.contributor.googleauthor | Lee, Minchul | - |
dc.contributor.googleauthor | Sunwoo, Myoungho | - |
dc.relation.code | 2018001156 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF AUTOMOTIVE ENGINEERING | - |
dc.identifier.pid | msunwoo | - |
dc.identifier.orcid | https://orcid.org/0000-0002-3505-6675 | - |
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