Abstract: An autonomous vehicle (AV) includes a vehicle computing system configured to receive map data of a geographic location, obtain position estimate data of the autonomous vehicle and determine a route of the autonomous vehicle including a plurality of roadways in the plurality of submaps. The autonomous vehicle determines a route including a plurality of roadways, determines a first roadway in the plurality of roadways closest to the position estimate and a second roadway outside the plurality of roadways closest to the position estimate of the autonomous vehicle, and determines a pose relative to the first roadway or the second roadway based on a distance between the position estimate of the autonomous vehicle and a roadway associated with a prior pose of the autonomous vehicle to control travel of the autonomous vehicle based on the vehicle pose.

Abstract: An autonomous vehicle (AV) includes a vehicle computing system including one or more processors programmed to receive map data associated with a map of a geographic location, determine, based on the map data, one or more local routes in the one or more roadways between the current location of the AV and one or more exit locations, and control travel of the AV based on a selected local route of the one or more local routes. The map includes one or more roadways in the geographic location. The map data includes a global route in the one or more roadways between a current location of the AV and a destination location of the AV. The one or more exit locations are located between the current location of the AV and the destination location of the AV.

Abstract: An autonomous vehicle (AV) includes a vehicle computing system including one or more processors programmed to receive map data associated with a map of a geographic location, including, one or more local routes in the one or more roadways between the current location of the AV and one or more exit locations, receive sensor data associated with an object detected in an environment surrounding the AV, select a local route of the one or more local routes based on the sensor data and control travel of the AV based on a selected local route of the one or more local routes. The map includes one or more roadways in the geographic location. The one or more exit locations are located between the current location of the AV and the destination location of the AV in a global route in the one or more roadways.

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: 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, receive pose data based on a pose estimate associated with a location of the autonomous vehicle, determine, based on the pose data, that the autonomous vehicle is on a coverage lane, and, in response to determining that the autonomous vehicle is on the coverage lane, determine one or more candidate lanes, generate a route plan, based on the one or more candidate lanes and a current lane, and control travel of the autonomous vehicle on the route plan. The map includes (i) a coverage lane where the autonomous vehicle can travel under a partially-autonomous mode or a manual mode, and (ii) an AV lane where the autonomous vehicle can travel under a fully-autonomous mode. The autonomous vehicle configured to determine a pose estimate in a submap of a plurality of submaps where an autonomous vehicle can travel.

Abstract: An autonomous vehicle (AV) includes a vehicle computing system configured to receive map data of a geographic location, obtain position estimate data of the autonomous vehicle and determine a route of the autonomous vehicle including a plurality of roadways in the plurality of submaps. The autonomous vehicle determines a route including a plurality of roadways, determines a first roadway in the plurality of roadways closest to the position estimate and a second roadway outside the plurality of roadways closest to the position estimate of the autonomous vehicle, and determines a pose relative to the first roadway or the second roadway based on a distance between the position estimate of the autonomous vehicle and a roadway associated with a prior pose of the autonomous vehicle to control travel of the autonomous vehicle based on the vehicle pose.

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, receive pose data based on a pose estimate associated with a location of the autonomous vehicle, determine, based on the pose data, that the autonomous vehicle is on a coverage lane, and, in response to determining that the autonomous vehicle is on the coverage lane, determine one or more candidate lanes, generate a route plan, based on the one or more candidate lanes and a current lane, and control travel of the autonomous vehicle on the route plan. The map includes (i) a coverage lane where the autonomous vehicle can travel under a partially-autonomous mode or a manual mode, and (ii) an AV lane where the autonomous vehicle can travel under a fully-autonomous mode. The autonomous vehicle configured to determine a pose estimate in a submap of a plurality of submaps where an autonomous vehicle can travel.

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, receive pose data based on a pose estimate associated with a location of the autonomous vehicle, determine, based on the pose data, that the autonomous vehicle is on a coverage lane, and, in response to determining that the autonomous vehicle is on the coverage lane, determine one or more candidate lanes, generate a route plan, based on the one or more candidate lanes and a current lane, and control travel of the autonomous vehicle on the route plan. The map includes (i) a coverage lane where the autonomous vehicle can travel under a partially-autonomous mode or a manual mode, and (ii) an AV lane where the autonomous vehicle can travel under a fully-autonomous mode. The autonomous vehicle configured to determine a pose estimate in a submap of a plurality of submaps where an autonomous vehicle can travel.

Abstract: An autonomous vehicle (AV) includes a vehicle computing system including one or more processors programmed to receive map data associated with a map of a geographic location, determine, based on the map data, one or more local routes in the one or more roadways between the current location of the AV and one or more exit locations, and control travel of the AV based on a selected local route of the one or more local routes. The map includes one or more roadways in the geographic location. The map data includes a global route in the one or more roadways between a current location of the AV and a destination location of the AV. The one or more exit locations are located between the current location of the AV and the destination location of the AV.

Abstract: An autonomous vehicle (AV) includes a vehicle computing system including one or more processors programmed to receive map data associated with a map of a geographic location, including, one or more local routes in the one or more roadways between the current location of the AV and one or more exit locations, receive sensor data associated with an object detected in an environment surrounding the AV, select a local route of the one or more local routes based on the sensor data and control travel of the AV based on a selected local route of the one or more local routes. The map includes one or more roadways in the geographic location. The one or more exit locations are located between the current location of the AV and the destination location of the AV in a global route in the one or more roadways.

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, receive pose data based on a pose estimate associated with a location of the autonomous vehicle, determine, based on the pose data, that the autonomous vehicle is on a coverage lane, and, in response to determining that the autonomous vehicle is on the coverage lane, determine one or more candidate lanes, generate a route plan, based on the one or more candidate lanes and a current lane, and control travel of the autonomous vehicle on the route plan. The map includes (i) a coverage lane where the autonomous vehicle can travel under a partially-autonomous mode or a manual mode, and (ii) an AV lane where the autonomous vehicle can travel under a fully-autonomous mode. The autonomous vehicle configured to determine a pose estimate in a submap of a plurality of submaps where an autonomous vehicle can travel.

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, receive pose data based on a pose estimate associated with a location of the autonomous vehicle, determine, based on the pose data, that the autonomous vehicle is on a coverage lane, and, in response to determining that the autonomous vehicle is on the coverage lane, determine one or more candidate lanes, generate a route plan, based on the one or more candidate lanes and a current lane, and control travel of the autonomous vehicle on the route plan. The map includes (i) a coverage lane where the autonomous vehicle can travel under a partially-autonomous mode or a manual mode, and (ii) an AV lane where the autonomous vehicle can travel under a fully-autonomous mode. The autonomous vehicle configured to determine a pose estimate in a submap of a plurality of submaps where an autonomous vehicle can travel.

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.