A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving

A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving

In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to accomplish reasonable behavioral decisions and guarantee driving safety. In this paper, we propose an integrated probabili...

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Bibliographic Details
Main Authors: Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Engineering
Subjects:
Autonomous driving
Dynamic Bayesian network
Driving intention recognition
Gaussian process
Vehicle trajectory prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2095809922001412

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http://www.sciencedirect.com/science/article/pii/S2095809922001412

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