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 method for receiving autonomous vehicle (AV) driving path data associated with a driving path in a roadway of a geographic location. The driving path data associated with a trajectory for an AV in a roadway and trajectory points in a trajectory of the driving path in the roadway for determining at least one feature of the roadway positioned a lateral distance from a first trajectory of the one or more trajectories of the driving path of an AV based on the map data. The method includes receiving map data associated with a map of a geographic location, determining a driving path for an AV in a roadway, generating driving path information based on a trajectory point in a trajectory of the driving path, and providing driving path data associated with the driving path to an AV for controlling the AV on the roadway.

Abstract: A method includes obtaining map data associated with a map of a geographic location including one or more roadways, the map including a first submap represented by a first local Euclidean space and a second submap represented by a second local Euclidean space. A route that includes a first roadway in the first submap and a second roadway in the second submap is determined using a first projection between a global coordinate system and the first local Euclidean space and a second projection between the global coordinate system and the second local Euclidean space. The route is provided to an autonomous vehicle (AV) for driving on the first roadway and the second roadway.

Abstract: A method includes obtaining map data associated with a map of a geographic location including one or more roadways, the map including a first submap represented by a first local Euclidean space and a second submap represented by a second local Euclidean space. A route that includes a first roadway in the first submap and a second roadway in the second submap is determined using a first projection between a global coordinate system and the first local Euclidean space and a second projection between the global coordinate system and the second local Euclidean space. The route is provided to an autonomous vehicle (AV) for driving on the first roadway and the second roadway.

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 method includes obtaining map data associated with a map of a geographic location including one or more roadways, the map including a first submap represented by a first local Euclidean space and a second submap represented by a second local Euclidean space. A route that includes a first roadway in the first submap and a second roadway in the second submap is determined using a first projection between a global coordinate system and the first local Euclidean space and a second projection between the global coordinate system and the second local Euclidean space. The route is provided to an autonomous vehicle (AV) for driving on the first roadway and the second roadway.

Abstract: A method for receiving autonomous vehicle (AV) driving path data associated with a driving path in a roadway of a geographic location. The driving path data associated with a trajectory for an AV in a roadway and trajectory points in a trajectory of the driving path in the roadway for determining at least one feature of the roadway positioned a lateral distance from a first trajectory of the one or more trajectories of the driving path of an AV based on the map data. The method includes receiving map data associated with a map of a geographic location, determining a driving path for an AV in a roadway, generating driving path information based on a trajectory point in a trajectory of the driving path, and providing driving path data associated with the driving path to an AV for controlling the AV on the roadway.

Abstract: A method for receiving autonomous vehicle (AV) driving path data associated with a driving path in a roadway of a geographic location. The driving path data associated with a trajectory for an AV in a roadway and trajectory points in a trajectory of the driving path in the roadway for determining at least one feature of the roadway positioned a lateral distance from a first trajectory of the one or more trajectories of the driving path of an AV based on the map data. The method includes receiving map data associated with a map of a geographic location, determining a driving path for an AV in a roadway, generating driving path information based on a trajectory point in a trajectory of the driving path, and providing driving path data associated with the driving path to an AV for controlling the AV on the roadway.

Abstract: A method includes obtaining map data associated with a map of a geographic location including one or more roadways, the map including a first submap represented by a first local Euclidean space and a second submap represented by a second local Euclidean space. A route that includes a first roadway in the first submap and a second roadway in the second submap is determined using a first projection between a global coordinate system and the first local Euclidean space and a second projection between the global coordinate system and the second local Euclidean space. The route is provided to an autonomous vehicle (AV) for driving on the first roadway and the second roadway.

Abstract: A method for receiving autonomous vehicle (AV) driving path data associated with a driving path in a roadway of a geographic location. The driving path data associated with a trajectory for an AV in a roadway and trajectory points in a trajectory of the driving path in the roadway for determining at least one feature of the roadway positioned a lateral distance from a first trajectory of the one or more trajectories of the driving path of an AV based on the map data. The method includes receiving map data associated with a map of a geographic location, determining a driving path for an AV in a roadway, generating driving path information based on a trajectory point in a trajectory of the driving path, and providing driving path data associated with the driving path to an AV for controlling the AV on the roadway.

Abstract: A method includes obtaining map data associated with a map of a geographic location including one or more roadways, the map including a first submap represented by a first local Euclidean space and a second submap represented by a second local Euclidean space. A route that includes a first roadway in the first submap and a second roadway in the second submap is determined using a first projection between a global coordinate system and the first local Euclidean space and a second projection between the global coordinate system and the second local Euclidean space. The route is provided to an autonomous vehicle (AV) for driving on the first roadway and the second 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, 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.