SYNCHRONOUSLY UPDATED VEHICLE TRANSPORTATION NETWORK INFORMATION FOR AUTONOMOUS VEHICLE ROUTING AND NAVIGATION

• US 20150345971A1
• Filed: 06/03/2014
• Published: 12/03/2015
• Est. Priority Date: 06/03/2014
• Status: Abandoned Application

• Current Assignee: Nissan North America Incorporated (Nissan Motor Co., Ltd.)
• Original Assignee: Nissan North America Incorporated (Nissan Motor Co., Ltd.)
• Inventors: MEULEAU, NICOLAS, KRISHNAMURTHY, VIKRAM
• Application Number:
  US14/294,420
• Publication Number:
  US 20150345971A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3415 Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G05D 1/0217 in accordance with energy consumption, time reduction or distance reduction criteria

Abstract

A method and apparatus for synchronously updated vehicle transportation network information for autonomous vehicle routing and navigation are provided. Synchronously updated vehicle transportation network information for autonomous vehicle routing and navigation may include an autonomous vehicle identifying vehicle transportation network information, identifying an origin, identifying a destination, generating a plurality of candidate routes from the origin to the destination based on the vehicle transportation network information, receiving, from an off-vehicle sensor, current vehicle transportation network state information indicating a state of at least a portion of the vehicle transportation network, identifying an optimal route from the plurality of candidate routes based at least in part on the current vehicle transportation network state information, the optimal route having a minimal route cost, and operating the autonomous vehicle to travel from the origin to the destination using the optimal route.

Claims

1. An autonomous vehicle comprising:

a processor configured to execute instructions stored on a non-transitory computer readable medium to;

identify vehicle transportation network information, the vehicle transportation network information including road segment information representing a plurality of road segments, the road segment information including lane information representing at least one lane for each respective road segment, wherein the road segment information for at least one road segment from the plurality of road segments includes lane information representing at least two adjacent lanes,

identify an origin,

identify a destination,

generate a plurality of candidate routes from the origin to the destination based on the vehicle transportation network information, wherein each route from the plurality of routes indicates a distinct combination of road segments and lanes, and wherein at least one candidate route from the plurality of candidate routes includes at least one of the adjacent lanes,

receive, from an off-vehicle sensor, current vehicle transportation network state information indicating a state of at least a portion of at least one road segment from the plurality of road segments, and

identify an optimal route from the plurality of candidate routes based at least in part on the current vehicle transportation network state information, the optimal route having a minimal route cost; and

a trajectory controller configured to operate the autonomous vehicle to travel from the origin to the destination using the optimal route.

2. The autonomous vehicle of claim 1, wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium to identify the optimal route by:

update the plurality of candidate routes based on the current vehicle transportation network state information in response to receiving the current vehicle transportation network state information.

3. The autonomous vehicle of claim 1, wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium to identify the optimal route by:

update the optimal route based on the current vehicle transportation network state information in response to receiving the current vehicle transportation network state information.

4. The autonomous vehicle of claim 1, wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium to receive the current vehicle transportation network state information from another vehicle.

5. The autonomous vehicle of claim 1, wherein the current vehicle transportation network state information includes traffic flow information indicating a cardinality of vehicles per unit time for a road segment, a lane, or a waypoint.

6. The autonomous vehicle of claim 1, wherein the current vehicle transportation network state information includes current vehicle transportation network state information associated with a vehicle class.

7. The autonomous vehicle of claim 1, wherein the current vehicle transportation network state information includes magnitude information for a waiting-line associated with one or more road segments, one or more lanes, or one or more waypoints.

8. The autonomous vehicle of claim 7, wherein the magnitude information for the waiting-line includes a cardinality of vehicles in the waiting-line, a travel time for the waiting-line, or a distance for the waiting line.

9. The autonomous vehicle of claim 1, wherein the current vehicle transportation network state information includes navigability information for a road segment, a lane, or a waypoint.

10. The autonomous vehicle of claim 1, wherein the current vehicle transportation network state information includes status information for a traffic control signal for a road segment, a lane, or a waypoint.

11. The autonomous vehicle of claim 10, wherein the status information for the traffic control signal includes timing information for the traffic control signal.

12. The autonomous vehicle of claim 1, wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium to output or store the optimal route.

13. The autonomous vehicle of claim 1, wherein the lane information includes waypoint information representing at least one waypoint for each respective lane, and wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium to identify the optimal route by:

identifying a first routing state, the first routing state including an indication of a first road segment, an indication of a first lane associated with the first road segment, and an indication of a first waypoint associated with the first lane;

identifying a second routing state, the second routing state including an indication of a second road segment, an indication of a second lane associated with the second road segment, and an indication of a second waypoint associated with the second lane such that the second waypoint is immediately adjacent to the first waypoint; and

estimating an action cost representing a cost to transition from the first routing state to the second routing state.

14. The autonomous vehicle of claim 13, wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium to identify the optimal route by:

update the action cost based on the action cost and the current vehicle transportation network state information in response to receiving the current vehicle transportation network state information.

15. The autonomous vehicle of claim 13, wherein estimating the action cost includes evaluating at least one of a plurality of cost metrics.

16. The autonomous vehicle of claim 15, wherein the plurality of cost metrics includes at least one of a distance cost metric, a duration cost metric, a fuel cost metric, or an acceptability cost metric.

17. The autonomous vehicle of claim 13, wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium to identify the optimal route by:

identifying a third routing state, the third routing state including an indication of a third road segment, an indication of a third lane associated with the third road segment, and an indication of a third waypoint associated with the third lane such that the third waypoint is immediately adjacent to the first waypoint; and

estimating an action cost representing a cost to transition from the first routing state to the third routing state.

18. The autonomous vehicle of claim 17, wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium to identify the optimal route by:

selecting the minimal action cost from among the action cost representing the cost to transition from the first routing state to the second routing state and the action cost representing the cost to transition from the first routing state to the third routing state.

19. An autonomous vehicle comprising:

a processor configured to execute instructions stored on a non-transitory computer readable medium to;

identify vehicle transportation network information, the vehicle transportation network information including road segment information representing a plurality of road segments, the road segment information including lane information representing at least one lane for each respective road segment, the lane information including waypoint information representing at least one waypoint for each respective lane, wherein the road segment information for at least one road segment from the plurality of road segments includes lane information representing at least two adjacent lanes,

identify an origin,

identify a destination,

generate a plurality of candidate routes from the origin to the destination based on the vehicle transportation network information, wherein each route from the plurality of routes indicates a distinct combination of road segments and lanes, and wherein at least one candidate route from the plurality of candidate routes includes at least one of the adjacent lanes,

for at least one candidate route from the plurality of candidate routes;

identify a first routing state, the first routing state including an indication of a first road segment, an indication of a first lane associated with the first road segment, and an indication of a first waypoint associated with the first lane;

identify a second routing state, the second routing state including an indication of a second road segment, an indication of a second lane associated with the second road segment, and an indication of a second waypoint associated with the second lane such that the second waypoint is immediately adjacent to the first waypoint; and

generate an action cost representing a cost to transition from the first routing state to the second routing state,

identify an optimal route from the plurality of candidate routes based at least in part on the action cost, the optimal route having a minimal route cost,

receive, from an off-vehicle sensor, current vehicle transportation network state information indicating a state of at least a portion of at least one road segment from the plurality of road segments,

generate an updated optimal route based on the current vehicle transportation network state information in response to receiving the current vehicle transportation network state information; and

a trajectory controller configured to operate the autonomous vehicle to begin traveling from the origin to the destination using the optimal route and to complete traveling to the destination using the updated optimal route.

20. An autonomous vehicle comprising:

a processor configured to execute instructions stored on a non-transitory computer readable medium to;

identify vehicle transportation network information, the vehicle transportation network information including road segment information representing a plurality of road segments, the road segment information including lane information representing at least one lane for each respective road segment, the lane information including waypoint information representing at least one waypoint for each respective lane, wherein the road segment information for at least one road segment from the plurality of road segments includes lane information representing at least two adjacent lanes,

identify an origin,

identify a destination,

generate a plurality of candidate routes from the origin to the destination based on the vehicle transportation network information, wherein each route from the plurality of routes indicates a distinct combination of road segments and lanes, and wherein at least one candidate route from the plurality of candidate routes includes at least one of the adjacent lanes,

generate a route cost for a first candidate route from the plurality of candidate routes;

generate a route cost for a second candidate route from the plurality of candidate routes;

identify an optimal route from the plurality of candidate routes based at least in part on the route cost for the first candidate route and the route cost for the second candidate route, the optimal route having a minimal route cost;

receive, from an off-vehicle sensor, current vehicle transportation network state information indicating a state of at least a portion of the first candidate route,

generate an updated route cost for the first candidate route based on the current vehicle transportation network state information in response to receiving the current vehicle transportation network state information,

identify an updated optimal route from the plurality of candidate routes based at least in part on the updated route cost for the first candidate route; and

a trajectory controller configured to operate the autonomous vehicle to begin traveling from the origin to the destination using the optimal route and to complete traveling to the destination using the updated optimal route.