Utilizing B-Spline Curves and Neural Networks for Vehicle Trajectory Prediction in an Inverse Reinforcement Learning Framework
The ability to accurately predict vehicle trajectories is essential in infrastructure-based safety systems that aim to identify critical events such as near-crash situations and traffic violations. In a connected environment, important information about these critical events can be communicated to r...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Journal of Sensor and Actuator Networks |
Subjects: | |
Online Access: | https://www.mdpi.com/2224-2708/11/1/14 |