[HTML][HTML] A survey of autonomous vehicles: Enabling communication technologies and challenges
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 …
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
A survey on trajectory-prediction methods for autonomous driving
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 …
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 …
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …
A vectorized representation model for trajectory prediction of intelligent vehicles in challenging scenarios
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 …
field due to the complexity of dynamic scenarios and interactions. Furthermore, there is often …
Interaction-aware trajectory prediction and planning for autonomous vehicles in forced merge scenarios
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 …
especially in dense traffic, because the merging vehicle typically needs to interact with other …
Bat: Behavior-aware human-like trajectory prediction for autonomous driving
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 …
overcome on the journey to fully autonomous vehicles. To address this challenge, we …
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 …
autonomous vehicles are required to predict the future trajectories of the surrounding …
Decompose more and aggregate better: Two closer looks at frequency representation learning for human motion prediction
Encouraged by the effectiveness of encoding temporal dynamics within the frequency
domain, recent human motion prediction systems prefer to first convert the motion …
domain, recent human motion prediction systems prefer to first convert the motion …
DACR-AMTP: adaptive multi-modal vehicle trajectory prediction for dynamic drivable areas based on collision risk
P Cong, Y Xiao, 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 …
challenges due to the varying driving states of different vehicles, their motion patterns, and …
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
surrounding vehicles is paramount for ensuring safety and operational efficiency …
surrounding vehicles is paramount for ensuring safety and operational efficiency …