DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hoon | ko |
dc.contributor.author | Lee, Kangwook | ko |
dc.contributor.author | Hwang, Gyeongjo | ko |
dc.contributor.author | Suh, Changho | ko |
dc.date.accessioned | 2021-09-14T06:30:20Z | - |
dc.date.available | 2021-09-14T06:30:20Z | - |
dc.date.created | 2021-09-14 | - |
dc.date.created | 2021-09-14 | - |
dc.date.created | 2021-09-14 | - |
dc.date.issued | 2021-07 | - |
dc.identifier.citation | MACHINE VISION AND APPLICATIONS, v.32, no.4 | - |
dc.identifier.issn | 0932-8092 | - |
dc.identifier.uri | http://hdl.handle.net/10203/287777 | - |
dc.description.abstract | Training a deep learning model for identifying dangerous vehicles requires a large amount of labeled accident data. However, it is difficult to collect a sufficient amount of accident data in the real world. To address this challenge, we introduce a driving-simulator-based data generator that can arbitrarily produce a wide variety of accident scenarios. Furthermore, in order to reduce the gap between synthetic data and real data, we propose a new domain adaptation algorithm that refines both features and labels. We conduct extensive real-data experiments to demonstrate that our dangerous vehicle classifier can reduce the missed detection rate by at least 23.2%, as compared to those trained only with scarce real data, for an interested scenario in which time-to-collision is 1.6-1.8 s. We also find that our algorithm can identify various accident-related factors (such as wheel angles, vehicle orientations, and velocities of nearby vehicles) to enable high prediction accuracy for complex accident scenes. | - |
dc.language | English | - |
dc.publisher | SPRINGER | - |
dc.title | Predicting vehicle collisions using data collected from video games | - |
dc.type | Article | - |
dc.identifier.wosid | 000691141200002 | - |
dc.identifier.scopusid | 2-s2.0-85107815234 | - |
dc.type.rims | ART | - |
dc.citation.volume | 32 | - |
dc.citation.issue | 4 | - |
dc.citation.publicationname | MACHINE VISION AND APPLICATIONS | - |
dc.identifier.doi | 10.1007/s00138-021-01217-2 | - |
dc.contributor.localauthor | Suh, Changho | - |
dc.contributor.nonIdAuthor | Kim, Hoon | - |
dc.contributor.nonIdAuthor | Lee, Kangwook | - |
dc.contributor.nonIdAuthor | Hwang, Gyeongjo | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Collision prediction | - |
dc.subject.keywordAuthor | Domain adaptation | - |
dc.subject.keywordAuthor | Self-driving | - |
dc.subject.keywordAuthor | Simulation | - |
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