Predicting and responding to cut in vehicles and altruistic responses
A vehicle navigation system may comprise a memory including instructions and circuitry configured by the instructions to identify a target vehicle in an environment of a vehicle that includes the vehicle navigation system. The circuitry may receive image data of the target vehicle from an image capture device of the vehicle; identify, based on analysis of the image data, a situational characteristic of the target vehicle including an indication that the target vehicle is traveling behind an additional vehicle traveling slower than the target vehicle; and change a navigational state of the vehicle to allow an action of the target vehicle. The vehicle may be configured to cause the change in the navigational state based on a determination that the situational characteristic indicates that the target vehicle would benefit from the change in the navigational state.
1. A vehicle navigation system for a host vehicle, the vehicle navigation system comprising:
at least one processing device comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processing device to:
receive image data captured by at least one image capture device of the host vehicle, the image data being representative of an environment of the host vehicle;
identify, based on analysis of the image data, a target vehicle traveling in a lane adjacent to a lane in which the host vehicle is traveling;
identify, based on analysis of the image data, one or more situational characteristics of the target vehicle indicating the target vehicle would benefit from a change in a navigational state of the host vehicle, wherein identifying the one or more situational characteristics of the target vehicle comprises:
tracking a representation of the target vehicle across multiple image frames, and
generating measurements of the target vehicle using one or more time-based observations, and
wherein the situational characteristics of the target vehicle include:
an indication that the target vehicle is traveling at a first speed behind an additional vehicle in the lane adjacent to the lane in which the host vehicle is traveling, and
an indication that the additional vehicle is traveling at a second speed, wherein the second speed is lower than the first speed;
determine, based on the first speed of the first target vehicle and the second speed of the additional target vehicle, that the target vehicle would benefit from a change in a navigational state of the host vehicle to allow a cut-in by the target vehicle into the lane in which the host vehicle is traveling; and
cause the change in the navigational state of the host vehicle to allow the cut-in by the target vehicle.
2. The vehicle navigation system of claim 1 , wherein the one or more situational characteristics indicate that the target vehicle would benefit from a course change into a path of the host vehicle.
3. The vehicle navigation system of claim 2 , wherein the one or more situational characteristics further include an indication that the target vehicle has moved laterally towards the path of the host vehicle.
4. The vehicle navigation system of claim 1 , wherein the cut-in by the target vehicle occurs at an interchange.
5. The vehicle navigation system of claim 1 , wherein, to change the navigational state of the host vehicle, the circuitry is configured to alter a speed of the host vehicle.
6. The vehicle navigation system of claim 1 , wherein, to identify the target vehicle in the environment of the host vehicle, the circuitry is configured to use radar of the host vehicle.
7. A host vehicle comprising:
at least one image capture device; and
a vehicle navigation system configured to:
receive image data captured by the at least one image capture device, the image data being representative of an environment of the host vehicle;
identify, based on analysis of the image data, a target vehicle traveling in a lane adjacent to a lane in which the host vehicle is traveling;
identify, based on analysis of the image data, one or more situational characteristics of the target vehicle indicating the target vehicle would benefit from a change in a navigational state of the host vehicle, wherein identifying the one or more situational characteristics of the target vehicle comprises:
tracking a representation of the target vehicle across multiple image frames, and
generating measurements of the target vehicle using one or more time-based observations, and
wherein the situational characteristics of the target vehicle include:
an indication that the target vehicle is traveling at a first speed behind an additional vehicle in the lane adjacent to the lane in which the host vehicle is traveling, and
an indication that the additional vehicle is traveling at a second speed, wherein the second speed is lower than the first speed;
determine, based on the first speed of the first target vehicle and the second speed of the additional target vehicle, that the target vehicle would benefit from a change in a navigational state of the host vehicle to allow a cut-in by the target vehicle into the lane in which the host vehicle is traveling; and
cause the change in the navigational state of the host vehicle to allow the cut-in by the target vehicle.
8. The host vehicle of claim 7 , wherein the one or more situational characteristics indicate that the target vehicle would benefit from a course change into a path of the host vehicle.
9. The host vehicle of claim 8 , wherein the one or more situational characteristics further include an indication that the target vehicle has moved laterally towards the path of the host vehicle.
10. The host vehicle of claim 7 , wherein the cut-in by the target vehicle occurs at an interchange.
11. The host vehicle of claim 7 , wherein, to change the navigational state of the host vehicle, the vehicle navigation system is configured to alter a speed of the host vehicle.
12. The host vehicle of claim 7 , further comprising a radar; and
wherein, to identify the target vehicle in the environment of the host vehicle, the vehicle navigation system is configured to use radar of the host vehicle.
13. At least one non-transitory machine-readable medium including instructions that, when executed by circuitry of a vehicle component for a host vehicle, cause the circuitry to perform operations comprising:
receiving image data captured by at least one image capture device of the host vehicle, the image data being representative of an environment of the host vehicle;
identifying, based on analysis of the image data, a target vehicle traveling in a lane adjacent to a lane in which the host vehicle is traveling;
identifying, based on analysis of the image data, one or more situational characteristics of the target vehicle indicating the target vehicle would benefit from a change in a navigational state of the host vehicle, wherein identifying the one or more situational characteristics of the target vehicle comprises:
tracking a representation of the target vehicle across multiple image frames, and
generating measurements of the target vehicle using one or more time-based observations, and
wherein the situational characteristics of the target vehicle include:
an indication that the target vehicle is traveling at a first speed behind an additional vehicle in the lane adjacent to the lane in which the host vehicle is traveling, and
an indication that the additional vehicle is traveling at a second speed, wherein the second speed is lower than the first speed;
determining, based on the first speed of the first target vehicle and the second speed of the additional target vehicle, that the target vehicle would benefit from a change in a navigational state of the host vehicle to allow a cut-in by the target vehicle into the lane in which the host vehicle is traveling; and
cause the change in the navigational state of the host vehicle to allow the cut-in by the target vehicle.
14. The at least one non-transitory machine-readable medium of claim 13 , wherein the one or more situational characteristics indicate that the target vehicle would benefit from a course change into a path of the host vehicle.
15. The at least one non-transitory machine-readable medium of claim 14 , wherein the one or more situational characteristics further include an indication that the target vehicle has moved laterally towards the path of the host vehicle.
16. The at least one non-transitory machine-readable medium of claim 13 , wherein the cut-in by the target vehicle occurs at an interchange.
17. The at least one non-transitory machine-readable medium of claim 13 , wherein changing the navigational state of the host vehicle includes altering a speed of the host vehicle.
18. The at least one non-transitory machine-readable medium of claim 13 , wherein identifying the target vehicle in the environment of the host vehicle includes using radar of the host vehicle.