US 12,266,228 B2
Artificially intelligent provision of post-vehicular-collision evidence
Mats Bohman, Gothenburg (SE); Anna Stina Ida Carlsson, Västra Frölunda (SE); Carl Anders Eric Ödblom, Öckerö (SE); Zhennan Fei, Gothenburg (SE); and Pär Bertil Gottfrid Nilsson, Mölndal (SE)
Assigned to Volvo Car Corporation, Gothenburg (SE)
Filed by Volvo Car Corporation, Gothenburg (SE)
Filed on Oct. 28, 2022, as Appl. No. 18/050,540.
Prior Publication US 2024/0144751 A1, May 2, 2024
Int. Cl. G07C 5/08 (2006.01); G06N 5/04 (2023.01); G07C 5/00 (2006.01)
CPC G07C 5/085 (2013.01) [G06N 5/04 (2013.01); G07C 5/008 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system of a first 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 at least one sensor of the first vehicle, vicinity data associated with a vicinity comprising a defined physical area adjacent to the first vehicle, wherein the at least one sensor comprises at least one of an image sensor or a sound sensor, and wherein the vicinity data comprises at least one of first image data or first audio data;
generates, via execution of a deep learning neural network on the vicinity data, a classification label indicating whether a vehicular collision has occurred in the vicinity of the first vehicle, wherein the vehicular collision involves at least one second vehicle, and does not involve the first vehicle;
records, in response to the classification label indicating that the vehicular collision has occurred and via the at least one sensor, post-collision evidence associated with the vicinity of the first vehicle, wherein the post-collision evidence comprises at least one of second image data or second audio data captured after the vicinity data has been captured; and
a broadcast component that broadcasts, in response to the classification label indicating that the vehicular collision has occurred, the classification label and the post-collision evidence to an emergency service computing device.