Abstract: An autonomous vehicle navigates an environment in which occlusions block the vehicle's ability to detect moving objects. The vehicle handles this by receiving sensor data corresponding to the environment, identifying one or more particles of a plurality of initialized particles that have a non-zero probability of being associated with a potential occluded actor in the occluded region, and generating a trajectory of the autonomous vehicle for traversing the environment based on spatiotemporal reasoning about the occluded region and taking into account the one or more particles. Each particle may be associated with a potential actor.

Abstract: Systems and methods for operating an autonomous vehicle. The methods comprising: obtaining one or more candidate vehicle trajectories for the autonomous vehicle and context information defining a state of an environment surrounding the autonomous vehicle; assigning class(es) to a scenario specified by the context information and a first candidate vehicle trajectory; generating a first quality score for the first candidate vehicle trajectory using scoring function(s) selected based on the assigned class(es); select a candidate vehicle trajectory based on the first quality score associated with the first candidate vehicle trajectory and second quality score(s) associated with at least one second candidate vehicle trajectory; and causing the autonomous vehicle to perform autonomous driving operations using the selected candidate vehicle trajectory.