Rethinking integration of prediction and planning in deep learning-based automated driving systems: a review
S Hagedorn, M Hallgarten, M Stoll… - ar** rapidly in the direction of intelligence and networking. In order to
further enhance the role of connected vehicles in improving the traffic characteristic of the …
further enhance the role of connected vehicles in improving the traffic characteristic of the …
Safety performance evaluation of freeway merging areas under autonomous vehicles environment using a co-simulation platform
Merging areas serve as the potential bottlenecks for continuous traffic flow on freeways.
Traffic incidents in freeway merging areas are closely related to decision-making errors of …
Traffic incidents in freeway merging areas are closely related to decision-making errors of …
Endurl: Enhancing safety, stability, and efficiency of mixed traffic under real-world perturbations via reinforcement learning
Human-driven vehicles (HVs) amplify naturally occurring perturbations in traffic, leading to
congestion–a major contributor to increased fuel consumption, higher collision risks, and …
congestion–a major contributor to increased fuel consumption, higher collision risks, and …
Multimodal vehicular trajectory prediction with inverse reinforcement learning and risk aversion at urban unsignalized intersections
Understanding human drivers' intentions and predicting their future motions are significant to
connected and autonomous vehicles and traffic safety and surveillance systems. Predicting …
connected and autonomous vehicles and traffic safety and surveillance systems. Predicting …