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 …
Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network
Simultaneous trajectory prediction for multiple heterogeneous traffic participants is essential
for safe and efficient operation of connected automated vehicles under complex driving …
for safe and efficient operation of connected automated vehicles under complex driving …
Integrated sensing and communications (ISAC) for vehicular communication networks (VCN)
With the unprecedented development of smart vehicles and roadside units equipped with
wireless connectivity, the transportation system is undergoing revolutionary changes in the …
wireless connectivity, the transportation system is undergoing revolutionary changes in the …
Intention-aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles
X Chen, H Zhang, F Zhao, Y Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicle trajectory prediction is a keystone for the application of the internet of vehicles (IoV).
With the help of deep learning and big data, it is possible to understand the between-vehicle …
With the help of deep learning and big data, it is possible to understand the between-vehicle …
Vehicle trajectory prediction based on intention-aware non-autoregressive transformer with multi-attention learning for Internet of Vehicles
X Chen, H Zhang, F Zhao, Y Cai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a core function of autonomous driving (AD) and the Internet of Vehicles (IoV), accurately
predicting the trajectory of vehicles can significantly improve traffic safety and reduce crash …
predicting the trajectory of vehicles can significantly improve traffic safety and reduce crash …
Mobility trajectory generation: a survey
Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …
and city science. Self-driving, traffic prediction, environment estimation, and many other …
A Review of Trajectory Prediction Methods for the Vulnerable Road User
Predicting the trajectory of other road users, especially vulnerable road users (VRUs), is an
important aspect of safety and planning efficiency for autonomous vehicles. With recent …
important aspect of safety and planning efficiency for autonomous vehicles. With recent …
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 …
Fine-grained highway autonomous vehicle lane-changing trajectory prediction based on a heuristic attention-aided encoder-decoder model
C Wei, F Hui, Z Yang, S Jia, AJ Khattak - Transportation Research Part C …, 2022 - Elsevier
Accurate prediction of lane-changing (LC) trajectories can improve traffic efficiency and
reduce the probability of accidents, as well as provide driving strategies for intelligent …
reduce the probability of accidents, as well as provide driving strategies for intelligent …