A survey of autonomous vehicles: Enabling communication technologies and challenges

MN Ahangar, QZ Ahmed, FA Khan, M Hafeez - Sensors, 2021 - mdpi.com
The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatalities
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …

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 …

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 …

Bat: Behavior-aware human-like trajectory prediction for autonomous driving

H Liao, Z Li, H Shen, W Zeng, D Liao, G Li… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to
overcome on the journey to fully autonomous vehicles. To address this challenge, we …

A cognitive-based trajectory prediction approach for autonomous driving

H Liao, Y Li, Z Li, C Wang, Z Cui… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
surrounding vehicles is paramount for ensuring safety and operational efficiency …

Interaction-aware trajectory prediction and planning for autonomous vehicles in forced merge scenarios

K Liu, N Li, HE Tseng, I Kolmanovsky… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Merging is, in general, a challenging task for both human drivers and autonomous vehicles,
especially in dense traffic, because the merging vehicle typically needs to interact with other …

A vectorized representation model for trajectory prediction of intelligent vehicles in challenging scenarios

L Guo, C Shan, T Shi, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Trajectory prediction for challenging scenarios has always been a significant problem in the
field due to the complexity of dynamic scenarios and interactions. Furthermore, there is often …

Trajectory prediction network of autonomous vehicles with fusion of historical interactive features

Z Zuo, X Wang, S Guo, Z Liu, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In order to improve driving safety and achieve more accurate decisions and planning,
autonomous vehicles are required to predict the future trajectories of the surrounding …

Interaction-aware motion planning for autonomous vehicles with multi-modal obstacle uncertainty predictions

J Zhou, B Olofsson, E Frisk - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
This article proposes an interaction and safety-aware motion-planning method for an
autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates …

DACR-AMTP: adaptive multi-modal vehicle trajectory prediction for dynamic drivable areas based on collision risk

P Cong, Y **ao, X Wan, M Deng, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate vehicle trajectory prediction in autonomous driving technology poses significant
challenges due to the varying driving states of different vehicles, their motion patterns, and …