Pedestrian trajectory prediction method based on group perception
Most methods do not model the pedestrian groups in autonomous driving, which will have an impact on road traffic safety. Therefore, a group perception pedestrian trajectory prediction network called GPCNet was proposed. Specifically, in intra-group, the interaction between pedestrian was learned at...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024224/ |
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| _version_ | 1832595488648462336 |
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| author | WANG Ruyan ZHOU Yudie WU Dapeng DUAN Ang CUI Yaping HE Peng |
| author_facet | WANG Ruyan ZHOU Yudie WU Dapeng DUAN Ang CUI Yaping HE Peng |
| author_sort | WANG Ruyan |
| collection | DOAJ |
| description | Most methods do not model the pedestrian groups in autonomous driving, which will have an impact on road traffic safety. Therefore, a group perception pedestrian trajectory prediction network called GPCNet was proposed. Specifically, in intra-group, the interaction between pedestrian was learned at the individual level and the preference issue of different pedestrian was considered. In inter-group, the interaction between pedestrian groups was learned at the group level and the collision issue of pedestrian trajectory was considered using the social force model. Simulation results demonstrate that GPCNet improves the performance on the ETH and UCY datasets by 75.4% compared to the commonly used trajectory prediction methods. |
| format | Article |
| id | doaj-art-a9a422ea45ed432e905a7d8f7dbbebc7 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a9a422ea45ed432e905a7d8f7dbbebc72025-01-18T19:00:05ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-12-0145445680268667Pedestrian trajectory prediction method based on group perceptionWANG RuyanZHOU YudieWU DapengDUAN AngCUI YapingHE PengMost methods do not model the pedestrian groups in autonomous driving, which will have an impact on road traffic safety. Therefore, a group perception pedestrian trajectory prediction network called GPCNet was proposed. Specifically, in intra-group, the interaction between pedestrian was learned at the individual level and the preference issue of different pedestrian was considered. In inter-group, the interaction between pedestrian groups was learned at the group level and the collision issue of pedestrian trajectory was considered using the social force model. Simulation results demonstrate that GPCNet improves the performance on the ETH and UCY datasets by 75.4% compared to the commonly used trajectory prediction methods.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024224/autonomous drivingtrajectory predictionpedestrian grouproad safety |
| spellingShingle | WANG Ruyan ZHOU Yudie WU Dapeng DUAN Ang CUI Yaping HE Peng Pedestrian trajectory prediction method based on group perception Tongxin xuebao autonomous driving trajectory prediction pedestrian group road safety |
| title | Pedestrian trajectory prediction method based on group perception |
| title_full | Pedestrian trajectory prediction method based on group perception |
| title_fullStr | Pedestrian trajectory prediction method based on group perception |
| title_full_unstemmed | Pedestrian trajectory prediction method based on group perception |
| title_short | Pedestrian trajectory prediction method based on group perception |
| title_sort | pedestrian trajectory prediction method based on group perception |
| topic | autonomous driving trajectory prediction pedestrian group road safety |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024224/ |
| work_keys_str_mv | AT wangruyan pedestriantrajectorypredictionmethodbasedongroupperception AT zhouyudie pedestriantrajectorypredictionmethodbasedongroupperception AT wudapeng pedestriantrajectorypredictionmethodbasedongroupperception AT duanang pedestriantrajectorypredictionmethodbasedongroupperception AT cuiyaping pedestriantrajectorypredictionmethodbasedongroupperception AT hepeng pedestriantrajectorypredictionmethodbasedongroupperception |