Artificially intelligent provision of post-vehicular-collision evidence
Systems/techniques that facilitate artificially intelligent provision of post-vehicular-collision evidence are provided. In various embodiments, a system can be onboard a vehicle. In various aspects, the system can capture, via one or more cameras or one or more microphones of the vehicle, vicinity data associated with a vicinity of the vehicle. In various instances, the system can determine, via execution of a deep learning neural network on the vicinity data, whether a vehicular collision not involving the vehicle has occurred in the vicinity of the vehicle. In various cases, the system can broadcast, in response to a determination that the vehicular collision has occurred, via the one or more cameras or the one or more microphones, and to an emergency service computing device, a post-collision live stream associated with the vicinity of the vehicle.
1. A system of a first passenger vehicle, the system comprising:
a memory that stores computer-executable components; and
a processor that executes at least one of the computer-executable components that:
captures, via sensors of the first passenger vehicle, vicinity data associated with a vicinity comprising a defined physical area external to and adjacent to the first passenger vehicle and interior data of an interior of the first passenger vehicle, wherein the sensors comprises at least one interior sensor directed to an interior of the first passenger vehicle and at least one external sensor directed to the vicinity, wherein the at least one interior sensor comprises at least one of an interior image sensor or an interior sound sensor, wherein the at least one external sensor comprises at least one of an external image sensor or an external sound sensor, wherein the vicinity data comprises at least one of first external image data or first external audio data, and wherein the interior data comprises at least one of first interior image data or first interior audio data;
a determines, via execution of a deep learning neural network on the vicinity data, whether a vehicular collision has occurred in the vicinity of the first passenger vehicle, wherein the vehicular collision involves at least one second passenger vehicle, and does not involve the first passenger vehicle; and
in response to a determination that the vehicular collision has occurred, broadcasts, via at least one of the sensors, to an emergency service computing device, a post-collision live stream comprising additional vicinity associated with the vicinity of the first passenger vehicle.
2. The system of claim 1 , wherein the post-collision live stream further comprises additional interior data of the interior of the first passenger vehicle.
3. The system of claim 1 , wherein the at least one of the computer-executable components further:
monitors a remaining battery life of the first passenger vehicle during the post-collision live stream.
4. The system of claim 3 , wherein the at least one of the computer-executable components further:
in response to determining that the remaining battery life of the first passenger vehicle is below a defined threshold, transmits to the emergency service computing device an electronic warning, wherein the electronic warning indicates that the post-collision live stream is nearing termination.
5. The system of claim 3 , wherein the at least one of the computer-executable components further:
in response to determining that the remaining battery life of the first passenger vehicle is below a defined threshold, shuts off at least one electric load of the first passenger vehicle, wherein the at least one electric load is unrelated to the post-collision live stream.
6. The system of claim 5 , wherein the at least one electric load comprises at least one of a seat heater of the first passenger vehicle, a seat cooler of the first passenger vehicle, an air conditioner of the first passenger vehicle, a radio of the first passenger vehicle, or a light of the first passenger vehicle.
7. The system of claim 1 , wherein the at least one of the computer-executable components further:
during the post-collision live stream, transmits to the emergency service computing device an electronic request to provide remote-control input associated with the first passenger vehicle.
8. The system of claim 7 , wherein the remote-control input comprises at least one of a camera angle input, a camera zoom input, a speaker volume input, a speaker content input, a lighting input, a steering input, a throttle input, a braking input, or a direction of travel input.
9. A computer-implemented method, comprising:
capturing, by a system of a first passenger vehicle, via sensors of the first passenger vehicle, vicinity data associated with a vicinity comprising a defined physical area external to and adjacent to the first passenger vehicle and interior data of an interior of the first passenger vehicle, wherein the sensors comprises at least one interior sensor directed to an interior of the first passenger vehicle and at least one external sensor directed to the vicinity, wherein the at least one interior sensor comprises at least one of an interior image sensor or an interior sound sensor, wherein the at least one external sensor comprises at least one of an external image sensor or an external sound sensor, wherein the vicinity data comprises at least one of first external image data or first external audio data, and wherein the interior data comprises at least one of first interior image data or first interior audio data;
determining, by the system, via execution of a deep learning neural network on the vicinity data, whether a vehicular collision has occurred in the vicinity of the first passenger vehicle, wherein the vehicular collision involves at least one second passenger vehicle, and does not involve the first passenger vehicle; and
in response to determining that the vehicular collision has occurred, broadcasting, by the system, via at least one of the sensors, to an emergency service computing device, a post-collision live stream comprising additional vicinity associated with the vicinity of the first passenger vehicle.
10. The computer-implemented method of claim 9 , wherein the post-collision live stream further comprises additional interior data of the interior of the first passenger vehicle.
11. The computer-implemented method of claim 9 , further comprising:
monitoring, by the system, a remaining battery life of the first passenger vehicle during the post-collision live stream.
12. The computer-implemented method of claim 11 , further comprising:
in response to determining that the remaining battery life of the first passenger vehicle is below a defined threshold, transmitting, by the system, an electronic warning to the emergency service computing device, wherein the electronic warning indicates that the post-collision live stream is nearing termination.
13. The computer-implemented method of claim 11 , further comprising:
in response to determining that the remaining battery life of the first passenger vehicle is below a threshold, shutting off, by the system, an at least one electric load of the first passenger vehicle, wherein the at least one electric load is unrelated to the post-collision live stream.
14. The computer-implemented method of claim 13 , wherein the at least one electric load comprises at least one of a seat heater of the first passenger vehicle, a seat cooler of the first passenger vehicle, an air conditioner of the first passenger vehicle, a radio of the first passenger vehicle, or a light of the first passenger vehicle.
15. The computer-implemented method of claim 9 , further comprising:
during the post-collision live stream, transmitting, by the system, to the emergency service computing device, an electronic request to provide remote-control input associated with the first passenger vehicle.
16. The computer-implemented method of claim 15 , wherein the remote-control input comprises at least one of a camera angle input, a camera zoom input, a speaker volume input, a speaker content input, a lighting input, a steering input, a throttle input, a braking input, or a direction of travel input.
17. A computer program product for facilitating artificially intelligent provision of post-vehicular-collision evidence, the computer program product comprising a non-transitory computer-readable memory having program instructions embodied therewith, the program instructions executable by a processor of a first passenger vehicle to cause the processor to:
capture, via sensors of the first passenger vehicle, vicinity data associated with a vicinity comprising a defined physical area external to and adjacent to the first passenger vehicle and interior data of an interior of the first passenger vehicle, wherein the sensors comprises at least one interior sensor directed to an interior of the first passenger vehicle and at least one external sensor directed to the vicinity, wherein the at least one interior sensor comprises at least one of an interior image sensor or an interior sound sensor, wherein the at least one external sensor comprises at least one of an external image sensor or an external sound sensor, wherein the vicinity data comprises at least one of first external image data or first external audio data, and wherein the interior data comprises at least one of first interior image data or first interior audio data;
determine, via execution of a deep learning neural network on the vicinity data, whether a vehicular collision has occurred in the vicinity of the first passenger vehicle, wherein the vehicular collision involves at least one second passenger vehicle, and does not involve the first passenger vehicle; and
in response to a determination that the vehicular collision has occurred, broadcast, via at least one of the sensors, to an emergency service computing device, a post-collision live stream comprising additional vicinity associated with the vicinity of the first passenger vehicle.
18. The computer program product of claim 17 , wherein the post-collision live stream further comprises additional interior data of the interior of the first passenger vehicle.
19. The computer program product of claim 17 , wherein the program instructions are further executable to cause the processor to:
monitor a remaining battery life of the first passenger vehicle during the post-collision live stream.
20. The computer program product of claim 19 , wherein the program instructions are further executable to cause the processor to:
in response to determining that the remaining battery life of the first passenger vehicle is below a defined threshold, transmit an electronic warning to the emergency service computing device, wherein the electronic warning indicates that the post-collision live stream is nearing termination.