Systems and methods for intelligent control of vehicle lighting to mitigate insect presence
Systems and methods for intelligent control of vehicle lights to mitigate presence of insects are provided. A vehicle may capture image data using one or more of its sensors. The image data may be of the internal cabin of the vehicle an external environment of the vehicle. The image data may be processed using a segmentation and classification algorithm to determine the presence of insects in or around the vehicle. The vehicle may additionally determine the presence of users in or around the vehicle. The vehicle may also determine the location of the insects and the users. Based on the location of the users and the insects, the vehicle may illuminate the appropriate lights of the vehicle in order to cause the insects to move away from the location of the users thereby enhancing user experience and mitigating the annoyance caused by the presence of the insects.
1 . A method comprising:
capturing, by a vehicle, an image using an image sensor of the vehicle;
generating, by the vehicle and using the image, foreground image data and background image data;
executing, by the vehicle, a morphological operation on the image to remove noise from the image;
executing, by the vehicle and on the foreground image data and the background image data, feature extraction to identify one or more insects depicted in the image;
determining, by the vehicle, a first location of the one or more insects with respect to the vehicle;
identifying, by the vehicle, presence of one or more users in a vicinity of the vehicle;
determining, by the vehicle, a second location of the one or more users with respect to the vehicle based at least in part on a second image captured using the image sensor, a geo-location of a user device, or a location of a key fob associated with the vehicle; and
operating, by the vehicle, a set of lights based on the first location of the one or more insects and the second location of the one or more users.
2 . The method of claim 1 , wherein the first location of the one or more insects is in an external environment of the vehicle and operating the set of lights comprises operating, by the vehicle, a first set of lights that are disposed on one or more external surfaces of the vehicle.
3 . The method of claim 1 , wherein the first location of the insects is within the vehicle and operating the set of lights comprises operating, by the vehicle, a first set of lights that are disposed inside the vehicle.
4 . The method of claim 1 , wherein operating the set of lights based on the first location of the one or more insects and the second location of the one or more users comprises:
determining a first set of lights, from the set of lights, that are disposed within the vehicle; and
turning on the first set of lights.
5 . The method of claim 1 , wherein operating the set of lights based on the first location of the one or more insects and the second location of the one or more users comprises:
determining a first set of lights, from the set of lights, that are disposed on one or more external surfaces of the vehicle and located farthest from the second location; and
turning on the first set of lights.
6 . The method of claim 5 , wherein the first set of lights emit a light having a wavelength of between 400 nm and 500 nm.
7 . The method of claim 1 , wherein the first location is inside the vehicle, and wherein the second location is inside the vehicle, the method further comprising:
illuminating, by the vehicle, a lighting device inside the vehicle, wherein the lighting device is part of the set of lights and emits light having a wavelength of greater than 600 nm.
8 . The method of claim 1 , wherein determining the second location of the one or more users with respect to the vehicle is based on the second image.
9 . The method of claim 1 , wherein determining the second location of the one or more users with respect to the vehicle is based on the geo-location of the user device.
10 . The method of claim 1 , wherein determining the second location of the one or more users with respect to the vehicle is based on the location of the key fob associated with the vehicle.
11 . A vehicle comprising:
one or more processors;
one or more memory devices storing instructions and coupled to the one or more processors; and
one or more sensors coupled to the one or more processors, wherein the one or more processors are configured to execute the instructions to:
capture image data using the one or more sensors;
generate, using the image data, foreground image data and background image data;
execute a morphological operation on the image data to remove noise from the image data;
execute, on the foreground image data and the background image data, feature extraction to identify one or more insects depicted in the image data;
determine a first location of the one or more insects with respect to the vehicle;
identify presence of one or more users in a vicinity of the vehicle;
determine a second location of the one or more users with respect to the vehicle based at least in part on a second image captured using the image sensor, a geo-location of a user device, or a location of a key fob associated with the vehicle; and
operate a set of lights of the vehicle based on the first location of the one or more insects and the second location of the one or more users.
12 . The vehicle of claim 11 , wherein to operate the set of lights, the one or more processors are further configured to execute the instructions to:
determine a first set of lights, from the set of lights, that are disposed within the vehicle; and
turn on the first set of lights.
13 . The vehicle of claim 11 , wherein to operate the set of lights, the one or more processors are further configured to execute the instructions to:
determine a first set of lights, from the set of lights, that are (i) disposed on one or more external surfaces of the vehicle and (ii) located farthest from the second location; and
turn on the first set of lights.
14 . The vehicle of claim 11 , wherein the first location is inside the vehicle, wherein the second location is inside the vehicle, and the one or more processors are further configured to execute the instructions to:
illuminate a lighting device inside the vehicle, wherein the lighting device emits light having a wavelength of greater than 600 nm and is part of the set of lights.
15 . The vehicle of claim 11 , wherein the first location of the one or more insects is in an external environment of the vehicle, and wherein to operate the set of lights, the one or more processors are further configured to execute the instructions to: operate a first set of lights that are disposed on one or more external surfaces of the vehicle.
16 . The vehicle of claim 11 , wherein the first location of the one or more insects is inside the vehicle, and wherein to operate the set of lights, the one or more processors are further configured to execute the instructions to: operate a first set of lights that are disposed inside the vehicle.
17 . The vehicle of claim 11 , wherein the set of lights emit light having a wavelength of between 400 nm and 500 nm or above 600 nm.
18 . The vehicle of claim 11 , wherein determining the second location of the one or more users with respect to the vehicle is based on the second image.
19 . The vehicle of claim 11 , wherein determining the second location of the one or more users with respect to the vehicle is based on the geo-location of the user device.
20 . The vehicle of claim 11 , wherein determining the second location of the one or more users with respect to the vehicle is based on the location of the key fob associated with the vehicle.