Abstract: A method for receiving autonomous vehicle (AV) map data associated with an AV map of a geographic location and coverage map data associated with a coverage map of the geographic location. The AV map data is associated with an AV lane of a roadway in the geographic location, and the coverage map data is associated with a coverage lane of the roadway in the geographic location. The method includes generating a hybrid map of the geographic location based on the AV map data and the coverage map data and providing hybrid map data associated with the hybrid map for routing of an AV. The hybrid map includes the AV lane linked with the coverage lane of the roadway.

Abstract: A georeferenced trajectory estimation system receives data generated by vehicle sensors from a fleet of vehicles and identifies sets of sensor measurements for a geographic region taken at different times. The sets of sensor measurements include environment geometry data and unaligned trajectory data in local coordinate frames. The georeferenced trajectory estimation system aligns the environment geometry data between sets of sensor measures, and, based on the alignment of the environment geometry data, transforms the identified corresponding trajectory data into a common coordinate frame.

Abstract: A method for receiving autonomous vehicle (AV) map data associated with an AV map of a geographic location and coverage map data associated with a coverage map of the geographic location. The AV map data is associated with an AV lane of a roadway in the geographic location, and the coverage map data is associated with a coverage lane of the roadway in the geographic location. The method includes generating a hybrid map of the geographic location based on the AV map data and the coverage map data and providing hybrid map data associated with the hybrid map for routing of an AV. The hybrid map includes the AV lane linked with the coverage lane of the roadway.

Abstract: Various examples are directed to systems and methods for determining a pose of a vehicle. A first localizer may generate a first pose estimate for the vehicle based at least in part on a comparison of first remote sensor data to a first reference data. A second localizer may generate a second pose estimate for the vehicle based at least in part on a comparison of second remote sensor data to a second reference data. A pose state estimator may generate a vehicle pose for the vehicle based at least in part on a first previous pose of the vehicle, the first pose estimate, and the second pose estimate.

Abstract: A georeferenced trajectory estimation system receives data generated by vehicle sensors from a fleet of vehicles and identifies sets of sensor measurements for a geographic region taken at different times. The sets of sensor measurements include environment geometry data and unaligned trajectory data in local coordinate frames. The georeferenced trajectory estimation system aligns the environment geometry data between sets of sensor measures, and, based on the alignment of the environment geometry data, transforms the identified corresponding trajectory data into a common coordinate frame.

Abstract: Various examples are directed to systems and methods for determining a pose of a vehicle. A first localizer may generate a first pose estimate for the vehicle based at least in part on a comparison of first remote sensor data to a first reference data. A second localizer may generate a second pose estimate for the vehicle based at least in part on a comparison of second remote sensor data to a second reference data. A pose state estimator may generate a vehicle pose for the vehicle based at least in part on a first previous pose of the vehicle, the first pose estimate, and the second pose estimate.

Abstract: An autonomous vehicle (AV) includes a vehicle computing system including one or more processors configured to receive map data associated with a map of a geographic location, determine, based on the map data, that the AV is on a coverage lane, and, in response to determining that the AV is on the coverage lane, control the AV to maintain at least one functionality associated with a fully-autonomous mode. The map includes (i) a coverage lane where the AV can operate and/or travel under a partially-autonomous mode or a manual mode, and (ii) an AV lane where the AV can operate and/or travel under the fully-autonomous mode. The coverage lane is linked to the AV lane.

Abstract: A method for receiving autonomous vehicle (AV) map data associated with an AV map of a geographic location and coverage map data associated with a coverage map of the geographic location. The AV map data is associated with an AV lane of a roadway in the geographic location, and the coverage map data is associated with a coverage lane of the roadway in the geographic location. The method includes generating a hybrid map of the geographic location based on the AV map data and the coverage map data and providing hybrid map data associated with the hybrid map for routing of an AV. The hybrid map includes the AV lane linked with the coverage lane of the roadway.