Connectivity enhanced safe neural network planner for lane changing in mixed traffic
Connectivity technology has shown great potentials in improving the safety and efficiency of
transportation systems by providing information beyond the perception and prediction …
transportation systems by providing information beyond the perception and prediction …
Safety-driven interactive planning for neural network-based lane changing
Neural network-based driving planners have shown great promises in improving task
performance of autonomous driving. However, it is critical and yet very challenging to ensure …
performance of autonomous driving. However, it is critical and yet very challenging to ensure …
A novel multimodal vehicle path prediction method based on temporal convolutional networks
MN Azadani, A Boukerche - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Accurate and reliable prediction of future motions of the nearby agents and effective
environment understanding will contribute to high-quality and meticulous path planning for …
environment understanding will contribute to high-quality and meticulous path planning for …
Multimodal trajectory predictions for urban environments using geometric relationships between a vehicle and lanes
A Kawasaki, A Seki - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Implementation of safe and efficient autonomous driving systems requires accurate
prediction of the long-term trajectories of surrounding vehicles. High uncertainty in traffic …
prediction of the long-term trajectories of surrounding vehicles. High uncertainty in traffic …
Interactive trajectory planner for mandatory lane changing in dense non-cooperative traffic
X Liu, J Chen, S Li, Y Zhang, H Yu, F Huang… - arXiv preprint arXiv …, 2023 - arxiv.org
When the traffic stream is extremely congested and surrounding vehicles are not
cooperative, the mandatory lane changing can be significantly difficult. In this work, we …
cooperative, the mandatory lane changing can be significantly difficult. In this work, we …
Learning interaction-aware guidance for trajectory optimization in dense traffic scenarios
B Brito, A Agarwal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
Learning interaction-aware guidance policies for motion planning in dense traffic scenarios
B Brito, A Agarwal, J Alonso-Mora - arXiv preprint arXiv:2107.04538, 2021 - arxiv.org
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
Interaction-aware trajectory prediction of connected vehicles using CNN-LSTM networks
Predicting the future trajectory of a surrounding vehicle in congested traffic is one of the
necessary abilities of an autonomous vehicle. In congestion, a vehicle's future movement is …
necessary abilities of an autonomous vehicle. In congestion, a vehicle's future movement is …
Graph and recurrent neural network-based vehicle trajectory prediction for highway driving
Integrating trajectory prediction to the decision-making and planning modules of modular
autonomous driving systems is expected to improve the safety and efficiency of self-driving …
autonomous driving systems is expected to improve the safety and efficiency of self-driving …
A Novel Dynamic Lane‐Changing Trajectory Planning Model for Automated Vehicles Based on Reinforcement Learning
C Yu, A Ni, J Luo, J Wang, C Zhang… - Journal of advanced …, 2022 - Wiley Online Library
Lane changing behavior has a significant impact on traffic efficiency and may lead to traffic
delays or even accidents. It is important to plan a safe and efficient lane‐changing trajectory …
delays or even accidents. It is important to plan a safe and efficient lane‐changing trajectory …