Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving
… tent multiview videos in autonomous driving scenes. • Extensive … 3D object detector [42] and
online HDMap predictor [43] to … Top: turning around at a T-shape intersection on a rainy day. …
online HDMap predictor [43] to … Top: turning around at a T-shape intersection on a rainy day. …
Mixed test environment-based vehicle-in-the-loop validation-a new testing approach for autonomous vehicles
… -world scenarios introduce the real autonomous driving vehicle… and multivehicle interaction
while respecting the traffic rules. … at an intersection without traffic signal lights or parking signs …
while respecting the traffic rules. … at an intersection without traffic signal lights or parking signs …
Multimodal interaction-aware motion prediction for autonomous street crossing
… of our approach for autonomous crossing prediction in real-world scenarios, we deploy our
… pedestrian assistant robots or autonomous vehicles. Although traffic lights are designed to …
… pedestrian assistant robots or autonomous vehicles. Although traffic lights are designed to …
Deep reinforcement learning enabled decision-making for autonomous driving at intersections
… various scenarios in autonomous driving, intersection has … single scenario without considering
the application to different … its behaviors through the interaction with other vehicles. The …
the application to different … its behaviors through the interaction with other vehicles. The …
Collaborative autonomous driving—A survey of solution approaches and future challenges
… full advantage of autonomous vehicles, a number of situations will … the vehicles to pass an
intersection based on traffic lights, … assuming negligible interaction with manual vehicles. Now, …
intersection based on traffic lights, … assuming negligible interaction with manual vehicles. Now, …
Safety-enhanced autonomous driving using interpretable sensor fusion transformer
… End-to-end autonomous driving in urban scenarios The … to capture the status of distant traffic
lights by cropping the center … sign ahead, and whether the ego vehicle is at an intersection. …
lights by cropping the center … sign ahead, and whether the ego vehicle is at an intersection. …
Application of Artificial Intelligence in Traffic Control System of Non-autonomous Vehicles at Signalized Road Intersection.
… effect that autonomous vehicles have on real-life scenario will … ) can reshape and free how
our intuition, the way we plan … a point where the traffic signals on the road will not be able to …
our intuition, the way we plan … a point where the traffic signals on the road will not be able to …
Multi-agent connected autonomous driving using deep reinforcement learning
P Palanisamy - 2020 International Joint Conference on Neural …, 2020 - ieeexplore.ieee.org
… possible interaction mechanisms and scenarios on the road. … /signals on cars, Traffic signals
etc) and auditory (horns, etc). … continuous actions for autonomous driving at intersections,” …
etc) and auditory (horns, etc). … continuous actions for autonomous driving at intersections,” …
End-to-end autonomous driving: Challenges and frontiers
… , highdimensional autonomous driving scenarios, the … Important small details, such as traffic
lights, would easily be … for human drivers when they need to react quickly to crossing agents. …
lights, would easily be … for human drivers when they need to react quickly to crossing agents. …
Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning
… how our autonomous car understands the driving situations. … agent collides with another
vehicle in an intersection. From the … , “Interactive ramp merging planning in autonomous driving: …
vehicle in an intersection. From the … , “Interactive ramp merging planning in autonomous driving: …