Abstract: Various examples are directed to routing autonomous vehicles. A processor unit accesses first routing graph modification data and second routing graph modification data. The first routing graph modification data based at least in part on first vehicle capability data describing a first type of autonomous vehicle and the second routing graph modification data based at least in part on second vehicle capability data describing a second type of autonomous vehicle. The processor unit accesses routing graph data describing a plurality of graph elements and generates a first route for a first autonomous vehicle of the first type based at least in part on the first routing graph modification data and the routing graph data. The processor unit also generates a second route for a second autonomous vehicle of the second type based at least in part on the second routing graph modification data and the routing graph data.

Abstract: Various examples are directed to routing autonomous vehicles. A processor unit accesses first routing graph modification data and second routing graph modification data. The first routing graph modification data based at least in part on first vehicle capability data describing a first type of autonomous vehicle and the second routing graph modification data based at least in part on second vehicle capability data describing a second type of autonomous vehicle. The processor unit accesses routing graph data describing a plurality of graph elements and generates a first route for a first autonomous vehicle of the first type based at least in part on the first routing graph modification data and the routing graph data. The processor unit also generates a second route for a second autonomous vehicle of the second type based at least in part on the second routing graph modification data and the routing graph data.

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 of controlling navigation of autonomous vehicles includes accessing map data descriptive of the identity and location of different travel ways within a surrounding environment of an autonomous vehicle and accessing constraint data descriptive of one or more geographic areas or geographic identifiers, within the map data, for which associated navigational constraints are defined. The constraint data includes a depart constraint that specifies an area that an autonomous vehicle may not enter but may exit if inside the area when the depart constraint is imposed, thereby preventing the autonomous vehicle from being trapped in a forbidden area even though the autonomous vehicle may safely complete its route. A travel route is determined for the autonomous vehicle based at least in part on the map data evaluated relative to the constraint data including the depart constraint, and motion of the autonomous vehicle is controlled based on the determined travel route.

Abstract: A computing system can generate a map constraint interface enabling a fleet operator to update map constraints for autonomous vehicles (AVs). The map constraint interface can comprise a unified document model enabling the fleet operator to configure a set of constraint layers of autonomy maps utilized by the AVs. Each constraint layer can include a toggle feature that enables the fleet operator to enable and disable the constraint layer. The system can receive, via the map constraint interface, a set of inputs configuring the set of constraint layers of the one or more autonomy maps, compile a set of updated map constraints, corresponding to the configured set of constraint layers, into a document container, and output the document container to a subset of the AVs to enable the subset of AVs to integrate the set of updated map constraints with the autonomy maps.

Abstract: A method of controlling navigation of autonomous vehicles includes accessing map data descriptive of the identity and location of different travel ways within a surrounding environment of an autonomous vehicle and accessing constraint data descriptive of one or more geographic areas or geographic identifiers, within the map data, for which associated navigational constraints are defined. The constraint data includes a depart constraint that specifies an area that an autonomous vehicle may not enter but may exit if inside the area when the depart constraint is imposed, thereby preventing the autonomous vehicle from being trapped in a forbidden area even though the autonomous vehicle may safely complete its route. A travel route is determined for the autonomous vehicle based at least in part on the map data evaluated relative to the constraint data including the depart constraint, and motion of the autonomous vehicle is controlled based on the determined travel route.

Abstract: A control system for an autonomous vehicle can determine a risk value for each respective path segment of a plurality of path segments in a given area that includes a destination of the autonomous vehicle. The risk value can correspond to a cost layer in a map that includes the respective path segment. Based on the risk value for each respective path segment, the control system can determine a travel route for the autonomous vehicle to the destination, and autonomously control the autonomous vehicle to navigate along the travel route to the destination.

Abstract: A method of controlling navigation of autonomous vehicles includes accessing map data descriptive of the identity and location of different travel ways within a surrounding environment of an autonomous vehicle and accessing constraint data descriptive of one or more geographic areas or geographic identifiers, within the map data, for which associated navigational constraints are defined. The constraint data includes a depart constraint that specifies an area that an autonomous vehicle may not enter but may exit if inside the area when the depart constraint is imposed, thereby preventing the autonomous vehicle from being trapped in a forbidden area even though the autonomous vehicle may safely complete its route. A travel route is determined for the autonomous vehicle based at least in part on the map data evaluated relative to the constraint data including the depart constraint, and motion of the autonomous vehicle is controlled based on the determined travel route.

Abstract: Various examples are directed to routing autonomous vehicles. A processor unit accesses first routing graph modification data and second routing graph modification data. The first routing graph modification data based at least in part on first vehicle capability data describing a first type of autonomous vehicle and the second routing graph modification data based at least in part on second vehicle capability data describing a second type of autonomous vehicle. The processor unit accesses routing graph data describing a plurality of graph elements and generates a first route for a first autonomous vehicle of the first type based at least in part on the first routing graph modification data and the routing graph data. The processor unit also generates a second route for a second autonomous vehicle of the second type based at least in part on the second routing graph modification data and the routing graph data.

Abstract: A control system for an autonomous vehicle can determine a risk value for each respective path segment of a plurality of path segments in a given area that includes a destination of the autonomous vehicle. The risk value can correspond to a cost layer in a map that includes the respective path segment. Based on the risk value for each respective path segment, the control system can determine a travel route for the autonomous vehicle to the destination, and autonomously control the autonomous vehicle to navigate along the travel route to the destination.

Abstract: A computing system can generate a map constraint interface enabling a fleet operator to update map constraints for autonomous vehicles (AVs). The map constraint interface can comprise a unified document model enabling the fleet operator to configure a set of constraint layers of autonomy maps utilized by the AVs. Each constraint layer can include a toggle feature that enables the fleet operator to enable and disable the constraint layer. The system can receive, via the map constraint interface, a set of inputs configuring the set of constraint layers of the one or more autonomy maps, compile a set of updated map constraints, corresponding to the configured set of constraint layers, into a document container, and output the document container to a subset of the AVs to enable the subset of AVs to integrate the set of updated map constraints with the autonomy maps.

Abstract: A system and method for autonomous vehicle routing using annotated maps. For at least some path segments within a geographic region in which the vehicle is operating, values are determined for the path segments based at least on risk factors associated with autonomous operation of the vehicle along each path segment. Path segments are combined to generate a travel route, from a first location to a second location, based on the determined values, and the vehicle is controlled to navigate along the travel route.

Abstract: A system and method for autonomous vehicle routing using annotated maps. For at least some path segments within a geographic region in which the vehicle is operating, values are determined for the path segments based at least on risk factors associated with autonomous operation of the vehicle along each path segment. Path segments are combined to generate a travel route, from a first location to a second location, based on the determined values, and the vehicle is controlled to navigate along the travel route.

Abstract: A system and method for dynamic vehicle routing using annotated maps and profiles. The system receives a transport request for a user and generates a travel route for the user based on the transport request, data indicative of autonomous operation of the vehicle along the travel route, and data indicative of preferences for the user. The vehicle is controlled to traverse autonomously along the travel route.