Methods for detecting vehicle following distance
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.
1. A method for determining a following distance between a first vehicle and a second vehicle, the method comprising:
accessing an image including a representation of a first vehicle from a perspective of a second vehicle behind the first vehicle;
determining, by the at least one processor, at least one image attribute based on a positional measure between the first vehicle as represented in the image and at least one boundary of the image; and
applying, by the at least one processor, a following distance determination model to determine the following distance based on the determined at least one image attribute.
2. The method of claim 1 , wherein determining the at least one image attribute comprises determining the at least one image attribute as including a first distance from a bottom boundary of the image to a bottom of the first vehicle as represented in the image.
3. The method of claim 2 , wherein determining the at least one image attribute further comprises determining the at least one image attribute as further including a second distance from a top boundary of the image to a top of the first vehicle as represented in the image.
4. The method of claim 1 , wherein determining the at least one image attribute comprises determining the at least one image attribute as including a cumulative measure of:
a first positional measure between a first corner of the image and a first corner of the first vehicle as represented in the image; and
a second positional measure between a second corner of the image and a second corner of the first vehicle as represented in the image.
5. The method of claim 1 , wherein determining the at least one image attribute comprises determining the at least one image attribute as including:
a first cumulative measure of:
a first positional measure between a bottom-left corner of the image and a bottom-left corner of the first vehicle as represented in the image; and
a second positional measure between a bottom-right corner of the image and a bottom-right corner of the first vehicle as represented in the image; and
a second cumulative measure of:
a third positional measure between a top-left corner of the image and a top-left corner of the first vehicle as represented in the image; and
a fourth positional measure between a top-right corner of the image and a top-right corner of the first vehicle as represented in the image.
6. The method of claim 5 , wherein determining the at least one image attribute comprises determining the at least one image attribute as further including:
a third cumulative measure of:
a fifth positional measure between a bottom-left corner of the image and a bottom-right corner of the first vehicle as represented in the image; and
a sixth positional measure between a bottom-right corner of the image and a bottom-left corner of the first vehicle as represented in the image; and
a fourth cumulative measure of:
a seventh positional measure between a top-left corner of the image and a top-right corner of the first vehicle as represented in the image; and
an eighth positional measure between a top-right corner of the image and a top-left corner of the first vehicle as represented in the image.
7. The method of claim 1 , wherein determining the at least one image attribute comprises determining the at least one image attribute based on respective positional measures between each corner of the image and each corner of the first vehicle as represented in the image.
8. The method of claim 1 , wherein determining the at least one image attribute comprises determining the at least one image attribute as including a first positional measure of a first corner of the first vehicle as represented in the image from a first corner of the image.
9. The method of claim 8 , wherein determining the at least one image attribute comprises determining the at least one image attribute as further including a second positional measure of a second corner of the first vehicle as represented in the image from the first corner of the image.
10. The method of claim 8 , wherein determining the at least one image attribute comprises determining the at least one image attribute as further including a scale measure of a size of the first vehicle as represented in the image.
11. The method of claim 1 , comprising:
determining, by the at least one processor, whether the following distance is within a tailgating distance criteria;
identifying, by the at least one processor, that the second vehicle is not tailgating the first vehicle if the following distance is outside of the tailgating distance criteria; and
identifying, by the at least one processor, that the second vehicle is tailgating the first vehicle if tailgating criteria are met, wherein the tailgating criteria includes the following distance being within the tailgating distance criteria.
12. The method of claim 11 , further comprising in response to an identification that the second vehicle is tailgating the first vehicle, outputting a tailgating indication to a driver of the second vehicle.
13. The method of claim 11 , further comprising in response to an identification that the second vehicle is tailgating the first vehicle, outputting a tailgating indication to a management server.
14. The method of claim 1 , wherein accessing the image comprises at least one image capture device of the system capturing the image.
15. The method of claim 1 , wherein accessing the image comprises receiving, by at least one communication interface of the system communicatively coupled to the at least one processor, the image.
16. The method of claim 1 , wherein accessing the image comprises accessing the image as stored in the at least one non-transitory processor-readable storage medium.