Hybrid Maps - Boundary Transition

1 . An autonomous vehicle (AV) comprising:

a vehicle computing system comprising one or more processors, wherein the vehicle computing system is configured to:

receive map data associated with a map of a geographic location, the map comprising (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 a fully-autonomous mode, wherein the coverage lane is linked to the AV lane;

determine, based on the map data, that the AV is on the 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 the fully-autonomous mode.

2 . The AV of claim 1 , wherein the vehicle computing system is further configured to:

determine, based on the map data, that the AV has transitioned from the coverage lane to the AV lane; and

in response to determining that that the AV has transitioned from the coverage lane to the AV lane, control the AV to enter the fully-autonomous mode.

3 . The AV of claim 1 , further comprising:

one or more sensors configured to detect an object in an environment surrounding the AV, wherein the vehicle computing system is further configured to:

control the AV to maintain the at least one functionality associated with the fully-autonomous mode in the coverage lane based on sensor data from the one or more sensors and the map data.

4 . The AV of claim 3 , wherein the one or more sensors include a light detection and ranging (LIDAR) system, wherein the LIDAR system is configured to determine sensor point data associated with a location of a number of points that correspond to objects within the environment of the AV, wherein the map data includes map point data associated with a location of a number of points that correspond to objects that have reflected a ranging laser during one or more traversals of the coverage lane location by one or more mapping AVs, and wherein the vehicle computing system is further configured to:

control the AV to maintain the at least one functionality associated with the fully-autonomous mode to determine a position of the AV in the coverage lane based on the sensor point data and the map point data.

5 . The AV of claim 1 , wherein the vehicle computing system is further or configured to:

determine, based on the map data, that the AV is on the coverage lane, by determining that the AV has transitioned from the AV lane to the coverage lane; and

in response to determining that the AV has transitioned form the AV lane to the coverage lane, control the AV to maintain at least one functionality associated with the fully-autonomous mode.

6 . The AV of claim 1 , wherein the at least one functionality associated with the fully-autonomous mode determines operation data in the coverage lane, and wherein the vehicle computing system is further configured to:

control the AV to perform the at least one functionality in the AV lane in the fully-autonomous mode based on the operation data determined in the coverage lane.

7 . The AV of claim 1 , wherein the map data is associated with a link between the AV lane and the coverage lane, the AV further comprising:

a positioning system configured to determine a position of the AV, wherein the vehicle computing system is further configured to:

determine the position of the AV with respect to the link between the AV lane and the coverage lane based on positioning data from the positioning system and the map data; and

control the AV to maintain the at least one functionality associated with the fully-autonomous mode in the coverage lane based on the position of the AV with respect to the link between the AV lane and the coverage lane.

8 . A method comprising:

receiving, with a computer system comprising one or more processors, map data associated with a map of a geographic location, the map comprising (i) a coverage lane where an autonomous vehicle (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 a fully-autonomous mode, wherein the coverage lane is linked to the AV lane;

determining, based on the map data with the computer system, that the AV is on the coverage lane; and

in response to determining that the AV is on the coverage lane, controlling, with the computer system, the AV to maintain at least one functionality associated with the fully-autonomous mode.

9 . The method of claim 8 , further comprising:

determining, based on the map data with the computer system, that the AV has transitioned from the coverage lane to the AV lane; and

in response to determining that that the AV has transitioned from the coverage lane to the AV lane, controlling the AV to enter the fully-autonomous mode.

10 . The method of claim 8 , further comprising:

detecting, with one or more sensors, sensor data associated with an object in an environment surrounding the AV; and

controlling, with the computer system, the AV to maintain the at least one functionality associated with the fully-autonomous mode in the coverage lane based on the sensor data from the one or more sensors and the map data.

11 . The method of claim 10 , wherein the one or more sensors include a light detection and ranging (LIDAR) system, and wherein the map data includes map point data associated with a location of a number of points that correspond to objects that have reflected a ranging laser during one or more traversals of the coverage lane by one or more mapping AVs, the method further comprising:

determining, with the LIDAR system, sensor point data associated with a location of a number of points that correspond to objects within the environment of the AV; and

controlling, with the computer system, the AV to maintain the at least one functionality associated with the fully-autonomous mode to determine a position of the AV in the coverage lane based on the sensor point data and the map point data.

12 . The method of claim 8 , further comprising:

determining, with the computer system, that the AV is on the coverage lane, by determining that the AV has transitioned from the AV lane to the coverage lane; and

in response to determining that the AV has transitioned form the AV lane to the coverage lane, controlling the AV to maintain at least one functionality associated with the fully-autonomous mode.

13 . The method of claim 8 , wherein the at least one functionality associated with the fully-autonomous mode determines operation data in the coverage lane, the method further comprising:

controlling, with the computer system, the AV to perform the at least one functionality in the fully-autonomous mode in the AV lane based on the operation data determined in the coverage lane.

14 . The method of claim 8 , wherein the map data is associated with a link between the AV lane and the coverage lane of the roadway, the method further comprising:

determining, with a positioning system, positioning data associated with a position of the AV;

determining, with the computer system, a position of the AV with respect to the link between the AV lane and the coverage lane based on the positioning data and the map data; and

controlling, with the computer system, the AV to maintain the at least one functionality associated with the fully-autonomous mode in the coverage lane based on the position of the AV with respect to the link between the AV lane and the coverage lane.

15 . A computing system comprising:

one or more processors configured to:

receive map data associated with a map of a geographic location, the map comprising (i) a coverage lane where an autonomous vehicle (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 a fully-autonomous mode, wherein the coverage lane is linked to the AV lane;

determine, based on the map data, that the AV is on the 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 the fully-autonomous mode.

16 . The system of claim 15 , wherein the one or more processors are further configured to:

determine, based on the map data, that the AV has transitioned from the coverage lane to the AV lane; and

in response to determining that that the AV has transitioned from the coverage lane to the AV lane, control the AV to enter the fully-autonomous mode.

17 . The system of claim 15 , further comprising:

one or more sensors configured to detect an object in an environment surrounding the AV,

wherein the one or more processors are further configured to control the AV to maintain the at least one functionality associated with the fully-autonomous mode in the coverage lane based on sensor data from the one or more sensors and the map data.

18 . The system of claim 17 , wherein the one or more sensors include a light detection and ranging (LIDAR) system, wherein the LIDAR system is configured to determine sensor point data associated with a location of a number of points that correspond to objects within the environment of the AV, wherein the map data includes map point data associated with a location of a number of points that correspond to objects that have reflected a ranging laser during one or more traversals of the coverage lane by one or more mapping AVs, and

wherein the one or more processors are further configured to control the AV to maintain the at least one functionality associated with the fully-autonomous mode to determine a position of the AV in the coverage lane based on the sensor point data and the map point data.

19 . The system of claim 15 , wherein the at least one functionality associated with the fully-autonomous mode determines operation data in the coverage lane, and

wherein the one or more processors are further configured to control the AV to perform the at least one functionality in the fully-autonomous mode in the AV lane based on the operation data determined in the coverage lane.

20 . The system of claim 15 , further comprising:

a positioning system configured to determine a position of the AV, wherein the map data is associated with a link between the AV lane and the coverage lane, wherein the one or more processors are further configured to:

determine the position of the AV with respect to the link between the AV lane and the coverage lane based on positioning data from the positioning system and the map data; and

control the AV to maintain the at least one functionality associated with the fully-autonomous mode in the coverage lane based on the position of the AV with respect to the link between the AV lane and the coverage lane.