Adaptive vehicle motion control system

1. An adaptive vehicle motion control system comprising:

one or more processors; and

one or more memory devices, the one or more memory devices storing instructions that when executed by the one or more processors cause the one or more processors to perform operations, the operations comprising:

obtaining data associated with a plurality of objects within a surrounding environment of a vehicle, wherein the data comprises respective predicted paths of the plurality of objects;

performing a cost analysis with respect to the plurality of objects, wherein the cost analysis for a respective object comprises a cost analysis to maintain travel behind the respective object at a following distance or in front of the respective object at a leading distance in a manner that corresponds to a motion of the respective object;

determining one or more parameters associated with a motion of the vehicle based, at least in part, on the cost analysis; and

causing the vehicle to implement at least a portion of the one or more parameters associated with the motion of the vehicle.

2. The adaptive vehicle motion control system of claim 1 , wherein determining the one or more parameters associated with the motion of the vehicle based, at least in part, on the cost analysis comprises:

determining a trajectory by which the vehicle is to travel behind at least one object of the plurality of objects or a trajectory by which the vehicle is to travel in front of the at least one object.

3. The adaptive vehicle motion control system of claim 1 , wherein determining the one or more parameters associated with the motion of the vehicle based, at least in part, on the cost analysis comprises:

determining a speed of the vehicle such that the vehicle maintains at least the following distance or the leading distance between the vehicle and at least one object of the plurality of objects.

4. The adaptive vehicle motion control system of claim 1 , wherein causing the vehicle to implement at least the portion of the one or more parameters associated with the motion of the vehicle comprises:

providing data indicative of the one or more parameters to allow one or more vehicle control systems to control the vehicle based, at least in part, on at least the portion of the one or more parameters.

5. The adaptive vehicle motion control system of claim 1 , wherein the plurality of objects comprises a lead vehicle and wherein maintaining travel in the manner that corresponds to the motion of the object comprises following the lead vehicle.

6. The adaptive vehicle motion control system of claim 1 , wherein the plurality of objects comprise an object that is located behind the vehicle and wherein maintaining travel in the manner that corresponds to the motion of the respective object comprises travelling in front of the object that is located behind the vehicle.

7. The adaptive vehicle motion control system of claim 1 , wherein performing the cost analysis comprises:

generating cost data associated with each of the plurality of objects, wherein the cost data for a respective object is indicative of a cost of controlling the motion of the vehicle to maintain travel behind the respective object at the following distance or in front of the respective object at the leading distance in the manner that corresponds to the motion of the respective object.

8. The adaptive vehicle motion control system of claim 7 , wherein the cost data is based, at least in part, on one or more constraints, and wherein the one or more constraints comprise at least one of: (i) a headway, (ii) a time, or (iii) a preferred distance between the vehicle and the respective object.

9. The adaptive vehicle motion control system of claim 1 , wherein the plurality of objects comprise an object that is located in a current travel lane of the vehicle.

10. The adaptive vehicle motion control system of claim 1 , wherein the plurality of objects comprise an object that is located in a travel lane and wherein the vehicle is to travel into the travel lane.

11. The adaptive vehicle motion control system of claim 1 , wherein the predicted path of at least one object, of the plurality of objects, indicates that the at least one object is predicted to travel into a travel lane in which the vehicle is currently or will be travelling.

12. A vehicle comprising:

one or more processors; and

one or more memory devices, the one or more memory devices storing instructions that when executed by the one or more processors cause the one or more processors to perform operations, the operations comprising:

obtaining data associated with a plurality of objects within a surrounding environment of a vehicle, wherein the data comprises respective predicted paths of the plurality of objects;

performing a cost analysis with respect to the plurality of objects, wherein the cost analysis for a respective object comprises a cost analysis to maintain travel behind the respective object at a following distance or in front of the respective object at a leading distance in a manner that corresponds to a motion of the respective object;

determining one or more parameters associated with a motion of the vehicle based, at least in part, on the cost analysis; and

causing the vehicle to implement at least a portion of the one or more parameters associated with the motion of the vehicle.

13. The vehicle of claim 12 , wherein performing the cost analysis comprises performing a cost analysis associated with a first object of the plurality of objects, and wherein determining the one or more parameters associated with the motion of the vehicle based, at least in part, on the cost analysis comprises:

determining at least one of: (i) a trajectory by which the vehicle is to travel behind the first object of the plurality of objects, (2) a trajectory by which the vehicle is to travel in front of the first object, or (3) a modulation of a speed of the vehicle such that the vehicle maintains at least the following distance or the leading distance between the vehicle and the first object.

14. The vehicle of claim 12 , wherein the first object is in a current travel lane of the vehicle.

15. The vehicle of claim 14 , wherein performing the cost analysis comprises:

performing a cost analysis associated with a second object of the one or more objects, wherein the second object is in another travel lane that is different from the current travel lane.

16. The vehicle of claim 15 , wherein a predicted path of the second object indicates that the second object is predicted to travel into a same travel lane as the vehicle.

17. The vehicle of claim 12 , wherein performing the cost analysis comprises:

generating cost data associated with the first object, wherein the cost data is indicative of a cost of controlling the motion of the vehicle to maintain travel behind the first object at the following distance or in front of the object at the leading distance.

18. The vehicle of claim 12 , wherein causing the vehicle to implement at least the portion of the one or more parameters associated with the motion of the vehicle comprises:

providing data indicative of the one or more parameters to allow one or more vehicle control systems to control the vehicle based, at least in part, on at least the portion of the one or more parameters, wherein the one or more vehicle control systems are associated with controlling a speed or a heading of the vehicle.

19. A computer-implemented method comprising:

obtaining data associated with a plurality of objects within a surrounding environment of a vehicle, wherein the data comprises respective predicted paths of the plurality of objects;

performing a cost analysis with respect to the plurality of objects, wherein the cost analysis for a respective object comprises a cost analysis to maintain travel behind the respective object at a following distance or in front of the respective object at a leading distance in a manner that corresponds to a motion of the respective object;

determining one or more parameters associated with a motion of the vehicle based, at least in part, on the cost analysis; and

causing the vehicle to implement at least a portion of the one or more parameters associated with the motion of the vehicle.

20. The computer-implemented method of claim 19 , wherein the vehicle is an autonomous vehicle.