Pedestrian potentially dangerous behaviour prediction based on attention‐long‐short‐term memory with egocentric vision
Abstract This paper develops a pedestrian potentially dangerous behaviour prediction method based on attention‐long‐short‐term memory (Attention‐LSTM) architecture to predict pedestrian trajectory and intention for the unexpected pedestrian crossing accident avoidance. To extract the road scene info...
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Wiley
2023-07-01
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| سلاسل: | IET Intelligent Transport Systems |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1049/itr2.12326 |