Research on pedestrian trajectory prediction method based on social attention mechanism
In order to improve the speed,accuracy and model interpretability of trajectory prediction in pedestrian interaction,a GAN model based on social attention mechanism was proposed.Firstly,a new type of social relationship on pedestrians was defined to model social relationships and a network model bas...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2020-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020100/ |
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| _version_ | 1841539352057872384 |
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| author | Linhui LI Bin ZHOU Jing LIAN Yafu ZHOU |
| author_facet | Linhui LI Bin ZHOU Jing LIAN Yafu ZHOU |
| author_sort | Linhui LI |
| collection | DOAJ |
| description | In order to improve the speed,accuracy and model interpretability of trajectory prediction in pedestrian interaction,a GAN model based on social attention mechanism was proposed.Firstly,a new type of social relationship on pedestrians was defined to model social relationships and a network model based on the attention mechanism was designed to improve the speed and interpretability of network prediction.Secondly,the influence of different pooling mechanisms on the prediction results was explored to determine the pooling model with excellent performance.Finally,a trajectory prediction network was built on this basis and trained on the UCY and ETH data sets.The experimental results show that the model not only has better prediction accuracy than the existing methods,but also improves the real-time performance by 18.3% compared with the existing methods. |
| format | Article |
| id | doaj-art-695fed1c896a4c00870f316d9be5ece9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-695fed1c896a4c00870f316d9be5ece92025-01-14T07:19:11ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-06-014117518359735079Research on pedestrian trajectory prediction method based on social attention mechanismLinhui LIBin ZHOUJing LIANYafu ZHOUIn order to improve the speed,accuracy and model interpretability of trajectory prediction in pedestrian interaction,a GAN model based on social attention mechanism was proposed.Firstly,a new type of social relationship on pedestrians was defined to model social relationships and a network model based on the attention mechanism was designed to improve the speed and interpretability of network prediction.Secondly,the influence of different pooling mechanisms on the prediction results was explored to determine the pooling model with excellent performance.Finally,a trajectory prediction network was built on this basis and trained on the UCY and ETH data sets.The experimental results show that the model not only has better prediction accuracy than the existing methods,but also improves the real-time performance by 18.3% compared with the existing methods.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020100/pedestrian trajectory predictiongenerative adversarial networkattention mechanismsocial force modeloptimal pooling model |
| spellingShingle | Linhui LI Bin ZHOU Jing LIAN Yafu ZHOU Research on pedestrian trajectory prediction method based on social attention mechanism Tongxin xuebao pedestrian trajectory prediction generative adversarial network attention mechanism social force model optimal pooling model |
| title | Research on pedestrian trajectory prediction method based on social attention mechanism |
| title_full | Research on pedestrian trajectory prediction method based on social attention mechanism |
| title_fullStr | Research on pedestrian trajectory prediction method based on social attention mechanism |
| title_full_unstemmed | Research on pedestrian trajectory prediction method based on social attention mechanism |
| title_short | Research on pedestrian trajectory prediction method based on social attention mechanism |
| title_sort | research on pedestrian trajectory prediction method based on social attention mechanism |
| topic | pedestrian trajectory prediction generative adversarial network attention mechanism social force model optimal pooling model |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020100/ |
| work_keys_str_mv | AT linhuili researchonpedestriantrajectorypredictionmethodbasedonsocialattentionmechanism AT binzhou researchonpedestriantrajectorypredictionmethodbasedonsocialattentionmechanism AT jinglian researchonpedestriantrajectorypredictionmethodbasedonsocialattentionmechanism AT yafuzhou researchonpedestriantrajectorypredictionmethodbasedonsocialattentionmechanism |