Deep learning-based interaction-aware trajectory prediction for autonomous vehicles
Predicting future trajectories of surrounding agents and conducting motion planning based on interaction predictions are of great importance for ensuring the safety and efficiency of autonomous driving in real-world scenarios, especially under critical driving scenarios. However, trajectory predicti...
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Format: | Thesis-Doctor of Philosophy |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/163285 |
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Institution: | Nanyang Technological University |
Language: | English |