Multi-Step Training for Predicting Roundabout Traffic Situations
M Sackmann, T Leemann, H Bey… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Predicting the future trajectories of surrounding vehicles is an important challenge in
automated driving, especially in highly interactive environments such as roundabouts. Many …
automated driving, especially in highly interactive environments such as roundabouts. Many …
Generic prediction architecture considering both rational and irrational driving behaviors
Accurately predicting future behaviors of surrounding vehicles is an essential capability for
autonomous vehicles in order to plan safe and feasible trajectories. The behaviors of others …
autonomous vehicles in order to plan safe and feasible trajectories. The behaviors of others …
Maneuver-based anchor trajectory hypotheses at roundabouts
Predicting future behavior of the surrounding vehicles is crucial for self-driving platforms to
safely navigate through other traffic. This is critical when making decisions like crossing an …
safely navigate through other traffic. This is critical when making decisions like crossing an …
High-level decision making for automated highway driving via behavior cloning
Automated driving systems need to perform according to what human drivers expect in every
situation. A different behavior can be wrongly interpreted by other human drivers and cause …
situation. A different behavior can be wrongly interpreted by other human drivers and cause …
Implicit predictive behavior cloning for autonomous driving decision-making in urban traffic
X Wang, C Wei, H Tian, W Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Making efficient and safe decisions for autonomous driving in urban traffic is a highly
challenging task that is crucial for ensuring driving safety and smooth traffic flow. Behavior …
challenging task that is crucial for ensuring driving safety and smooth traffic flow. Behavior …
Transfer Learning Study of Motion Transformer-based Trajectory Predictions
L Ullrich, A McMaster, K Graichen - arXiv preprint arXiv:2404.08271, 2024 - arxiv.org
Trajectory planning in autonomous driving is highly dependent on predicting the emergent
behavior of other road users. Learning-based methods are currently showing impressive …
behavior of other road users. Learning-based methods are currently showing impressive …
Residual Chain Prediction for Autonomous Driving Path Planning
L Zhou, Y Zhou, H Liu, A Knoll - arXiv preprint arXiv:2404.05423, 2024 - arxiv.org
In the rapidly evolving field of autonomous driving systems, the refinement of path planning
algorithms is paramount for navigating vehicles through dynamic environments, particularly …
algorithms is paramount for navigating vehicles through dynamic environments, particularly …
Intelligent roundabout insertion using deep reinforcement learning
AP Capasso, G Bacchiani, D Molinari - arXiv preprint arXiv:2001.00786, 2020 - arxiv.org
An important topic in the autonomous driving research is the development of maneuver
planning systems. Vehicles have to interact and negotiate with each other so that optimal …
planning systems. Vehicles have to interact and negotiate with each other so that optimal …
Using past maneuver executions for personalization of a driver model
H Dang, J Fürnkranz - 2018 21st International Conference on …, 2018 - ieeexplore.ieee.org
Modeling the driver's behavior is an importance task which has shown its advantages in
improving the prediction accuracy of different applications in the automotive field. A model of …
improving the prediction accuracy of different applications in the automotive field. A model of …
Map feature based trajectory prediction with multi-class traffic participants
Z Zuo, X Zhang, Y Wang - 2021 40th Chinese Control …, 2021 - ieeexplore.ieee.org
Reliable prediction for the future trajectories of the surrounding multi-class traffic participants
is critical for autonomous vehicles to drive safely and effectively in complex urban traffic. The …
is critical for autonomous vehicles to drive safely and effectively in complex urban traffic. The …