Heterogeneous graph social pooling for interaction-aware vehicle trajectory prediction
Predicting the trajectories of neighboring vehicles is vital for self-driving cars in intricate real-world driving. The challenge lies in accounting for diverse influences on a vehicle's movement, travel needs, neighboring vehicles, and a local map. To address these factors comprehensively, we...
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Main Authors: | Mo, Xiaoyu, Xing, Yang, Lv, Chen |
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Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/180731 |
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Institution: | Nanyang Technological University |
Language: | English |
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