CPC G06Q 10/20 (2013.01) [G06F 16/24578 (2019.01); G06F 18/214 (2023.01); G06F 18/2148 (2023.01); G06F 18/231 (2023.01); G06F 18/24 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06F 18/24317 (2023.01); G06F 18/285 (2023.01); G06F 40/20 (2020.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 3/049 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06Q 10/06313 (2013.01); G06Q 10/0875 (2013.01); G06Q 30/0283 (2013.01); G06T 7/0002 (2013.01); G06T 7/0004 (2013.01); G06T 7/11 (2017.01); G06V 10/22 (2022.01); G06V 10/225 (2022.01); G06V 10/25 (2022.01); G06V 10/255 (2022.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); G06Q 30/016 (2013.01); G06Q 40/08 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30156 (2013.01); G06T 2207/30164 (2013.01); G06T 2207/30248 (2013.01); G06T 2207/30252 (2013.01); G06V 2201/08 (2022.01); G06V 2201/10 (2022.01)] | 24 Claims |
1. A method, comprising:
receiving one or more images of a damaged vehicle, the damage vehicle comprising a plurality of normalized parts;
determining, using image segmentation on the one or more images, a location of damage on the damaged vehicle relative to one or more of the normalized parts; and
determining, using one or more classifiers, one or more damage states for one or more auxiliary parts of the vehicle based on at least the image segmentation.
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