Abstract: Systems and methods for detecting restricted traffic zones for autonomous driving are disclosed. In one aspect, method, includes receiving output from a perception system of an autonomous vehicle and detecting, based on the output from the perception system, one or more objects indicating a presence of a restricted traffic zone. The method may further include determining that the autonomous vehicle is entering the restricted traffic zone based on at least one of a prior map, an obstruction map, and the detected one or more objects.

Abstract: A method of sharing information about an object or a condition on a road includes receiving, by a server from a first autonomous vehicle, a message comprising a first data structure that includes information about a driving condition on a road; and transmitting, by the server to a second autonomous vehicle, a second data structure that includes information about the driving condition on the road, where the second data structure is transmitted in response to determining that a location of the driving condition is related to a trajectory on which the second autonomous vehicle is operating or is expected to drive, where the second data structure is transmitted to the second autonomous vehicle before the second autonomous vehicle reaches the location of the driving condition, and where the server is located in a fixed location outside of the first autonomous vehicle and the second autonomous vehicle.

Abstract: A lidar-based prior map for estimating static objects via deep-learning algorithm is disclosed. In one aspect, a server includes a network communication device configured to communicate with a plurality of autonomous vehicles over a network, a memory, and a processor. The processor is configured to receive LiDAR data from the autonomous vehicles, generate a LiDAR prior map comprising raw data based on the LiDAR data received from each of the autonomous vehicles, merge the raw data into a prior map, the prior map comprising an occupancy grid indicative of locations of static objects within an environment of the autonomous vehicles, and provide the prior map to the autonomous vehicles.