DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ju, Ce | ko |
dc.contributor.author | Wang, Zheng | ko |
dc.contributor.author | Long, Cheng | ko |
dc.contributor.author | Zhng, Xiaoyu | ko |
dc.contributor.author | Chang, Dong Eui | ko |
dc.date.accessioned | 2020-12-16T01:30:17Z | - |
dc.date.available | 2020-12-16T01:30:17Z | - |
dc.date.created | 2020-12-01 | - |
dc.date.created | 2020-12-01 | - |
dc.date.issued | 2020-11-01 | - |
dc.identifier.citation | 31st IEEE Intelligent Vehicles Symposium, IV 2020, pp.1793 - 1800 | - |
dc.identifier.issn | 1931-0587 | - |
dc.identifier.uri | http://hdl.handle.net/10203/278535 | - |
dc.description.abstract | Forecasting the motion of surrounding dynamic obstacles (vehicles, bicycles, pedestrians and etc.) benefits the on-road motion planning for autonomous vehicles. Complex traffic scenes yield great challenges in modeling the traffic patterns of surrounding dynamic obstacles. In this paper, we propose a multi-layer architecture Interaction-aware Kalman Neural Networks (IaKNN) which involves an interaction layer for resolving high-dimensional traffic environmental observations as interaction-aware accelerations, a motion layer for transforming the accelerations to interaction-aware trajectories, and a filter layer for estimating future trajectories with a Kalman filter. Experiments on the NGSIM dataset demonstrate that IaKNN outperforms the state-of-the-art methods in terms of effectiveness for trajectory prediction. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Interaction-aware Kalman neural networks for trajectory prediction | - |
dc.type | Conference | - |
dc.identifier.wosid | 000653124200267 | - |
dc.identifier.scopusid | 2-s2.0-85099877333 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 1793 | - |
dc.citation.endingpage | 1800 | - |
dc.citation.publicationname | 31st IEEE Intelligent Vehicles Symposium, IV 2020 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Virtual | - |
dc.identifier.doi | 10.1109/IV47402.2020.9304764 | - |
dc.contributor.localauthor | Chang, Dong Eui | - |
dc.contributor.nonIdAuthor | Ju, Ce | - |
dc.contributor.nonIdAuthor | Wang, Zheng | - |
dc.contributor.nonIdAuthor | Long, Cheng | - |
dc.contributor.nonIdAuthor | Zhng, Xiaoyu | - |
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