… in interactive driving scenarios such as intersections, and … and reliable autonomous driving
systems. The movement of … when vehicles are coming to a stop at a traffic signal and all …

… for autonomous vehicles with a 6-level system, from 0 (no control … merging, intersection, and
emergency traffic scenarios. In … Third, some learning approaches are inspired by interaction …

… safe and efficient traffic flows, eliminating traffic signals. So far… , without the ability to adapt
or keep learning new situations. To … module and the Motion Planner simply and progressively, …

… via the interaction between a learning agent (the ego-vehicle in … For the traffic signal, we
used fixed timing plan with 20s, 3s, … scenario in this study is built as a one-direction intersection …

… lane-change scenarios of autonomous driving. Simulation and … auditory based conversational
interaction between humans … a lane-change after the vehicle crossing a designated point. …

… behavior planner, which makes tactical decisions, might not … traffic lights and the distance to
the stop line of intersection, … with multilane roads with various traffic scenarios. In DAgger [31]…

… , 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. …

… , thereby focusing on a street-crossing scenario with driverless cars, to evaluate how AVs …
via projections, especially in situations that are not facilitated by traffic lights. Testing the final …

… path planning system for higher level of autonomous driving [… different SVs but consider no
interaction when predicting the … in different scenarios, eg intersections and unstructured roads…

… 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, …