With the objective to improve road safety, the automotive industry is moving toward more “intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …
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 …
Making accurate motion prediction of the surrounding traffic agents such as pedestrians, vehicles, and cyclists is crucial for autonomous driving. Recent data-driven motion prediction …
The recent progress in autonomous vehicle research and development has led to increasingly widespread testing of fully autonomous vehicles on public roads, where …
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 …
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 …
P Bhavsar, P Das, M Paugh, K Dey… - Transportation …, 2017 - journals.sagepub.com
The introduction of autonomous vehicles in the surface transportation system could improve traffic safety and reduce traffic congestion and negative environmental effects. Although the …
In highly interactive driving scenarios, the actions of one agent greatly influence those of its neighbors. Planning safe motions for autonomous vehicles (AVs) in such interactive …
S Akhtar, S Habibi - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
An autonomous vehicle would benefit from being able to predict trajectories of other vehicles in its vicinity for improved safety. In order for the self-driving car to plan safe trajectories …