Multi-Modal Vehicle Trajectory Prediction by Collaborative Learning of Lane Orientation, Vehicle Int...
Multi-Modal Vehicle Trajectory Prediction by Collaborative Learning of Lane Orientation, Vehicle Interaction, and Intention
About this item
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Author / Creator
Tian, Wei , Wang, Songtao , Wang, Zehan , Wu, Mingzhi , Zhou, Sihong and Bi, Xin
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Accurate trajectory prediction is an essential task in automated driving, which is achieved by sensing and analyzing the behavior of surrounding vehicles. Although plenty of research works have been invested in this field, it is still a challenging subject due to the environment’s complexity and the driving intention uncertainty. In this paper, we...
Alternative Titles
Full title
Multi-Modal Vehicle Trajectory Prediction by Collaborative Learning of Lane Orientation, Vehicle Interaction, and Intention
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_19b0be1460f74ec2b46bbb3a6d4309b1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_19b0be1460f74ec2b46bbb3a6d4309b1
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22114295
