Abstract: Autonomous vehicles utilize perception and understanding of road users and road objects to predict behaviors of the road users and road objects, and to plan a trajectory for the vehicle. Improved perception and understanding of the AV's surroundings can improve the AV's behavior around drivable objects, non-drivable road objects, construction zones, and temporary road closures. Improved perception and understanding of the AV's surroundings can also reduce the chances of the AV getting stuck and the need to be retrieved physically. To offer additional understanding capabilities, an additional understanding model is added to the perception and understanding pipeline to improve classification of road objects and extraction of attributes of the road objects. The implementation of the understanding model itself and placement of the model within the pipeline balance recall and precision performance metrics and computational complexity.

Abstract: Systems and techniques are provided for detecting construction zones by an autonomous vehicle. An example method includes detecting, by an autonomous vehicle, a first construction object and a second construction object; determining an association between the first construction object and the second construction object, wherein the association is based on at least one distance between the first construction object and the second construction object; identifying, based on the association, at least one temporary traffic restriction corresponding to the first construction object and the second construction object; and configuring a route of the autonomous vehicle based on the at least one temporary traffic restriction.

Abstract: Disclosed herein are one or more embodiments that arrange a plurality of location entities into a hierarchy of location descriptors. One or more of the disclosed embodiments may determine whether one of the location entities is a spatial outlier based at least in part on presence of one or more other location entities within a predetermined distance of the one location entity. Also, the other location entities and the one location entity may share a location descriptor.

Abstract: Disclosed herein are one or more embodiments that arrange a plurality of location entities into a hierarchy of location descriptors. One or more of the disclosed embodiments may determine whether one of the location entities is a spatial outlier based at least in part on presence of one or more other location entities within a predetermined distance of the one location entity. Also, the other location entities and the one location entity may share a location descriptor.