A survey on trajectory-prediction methods for autonomous driving

Y Huang, J Du, Z Yang, Z Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In order to drive safely in a dynamic environment, autonomous vehicles should be able to
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …

Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions

V Bharilya, N Kumar - Vehicular Communications, 2024 - Elsevier
The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …

Utilizing b-spline curves and neural networks for vehicle trajectory prediction in an inverse reinforcement learning framework

MS Jazayeri, A Jahangiri - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
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 …

Predicting Vehicle Trajectories at Intersections Using Advanced Machine Learning Techniques

MS Jazayeri - 2021 - search.proquest.com
The ability to accurately predict vehicle trajectories is essential in infrastructure-based safety
systems which aim to identify critical events such as near-crash situations and traffic …

A Survey of the State-of-the-Art Reinforcement Learning-Based Techniques for Autonomous Vehicle Trajectory Prediction

V Bharilya, N Kumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) have emerged as a promising solution by replacing human
drivers with advanced computer-aided decision-making systems. However, for AVs to …