Deep learning-based interaction-aware trajectory prediction for autonomous vehicles

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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Bibliographic Details
Main Author: Mo, Xiaoyu
Other Authors: Lyu Chen
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:https://hdl.handle.net/10356/163285

Internet

https://hdl.handle.net/10356/163285

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