Abstract: A vehicle computer system implements techniques to predict behavior of objects detected by a vehicle operating in the environment. The techniques include using a model to determine a first object trajectory for an object (e.g., a predicted object trajectory) and/or a potential object in an occluded area, as well as a second object trajectory for the object or potential object (e.g., an adverse object trajectory). The model is configured to use one or more algorithms, classifiers, and/or computational resources to predict candidate trajectories for the vehicle based on at least one of the first object trajectory or the second object trajectory. Based on the predicted behavior of the object (or potential object) and the predicted candidate trajectories for the vehicle, a vehicle computer system controls operation of the vehicle.

Abstract: Techniques and mechanisms for pull-over site selection for an autonomous vehicle. Simulation information is received from an external source. The simulation information corresponds to multiple simulations involving a virtual autonomous vehicle and available pull-over locations for the virtual autonomous vehicle. An indication to cause the autonomous vehicle to search for a pull-over location is received. Potential pull-over locations are analyzed in response to the indication. The potential pull-over locations are compared to simulated pull-over locations to identify a selected pull-over location. The autonomous vehicle navigates the selected pull-over location. The autonomous vehicle stops at the selected pull-over location.