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 first vehicle. In various aspects, the system can capture, via one or more first cameras or one or more first microphones of the...
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| creator | Fei, Zhennan Nilsson, Pär Bertil Gottfrid Bohman, Mats Carlsson, Anna Stina Ida Ödblom, Carl Anders Eric |
| description | Systems/techniques that facilitate artificially intelligent provision of post-vehicular-collision evidence are provided. In various embodiments, a system can be onboard a first vehicle. In various aspects, the system can capture, via one or more first cameras or one or more first microphones of the first vehicle, vicinity data associated with a first vicinity of the first 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 first vehicle has occurred in the first vicinity of the first vehicle. In various cases, the system can record, in response to a determination that the vehicular collision has occurred and via the one or more first cameras or the one or more first microphones, first post-collision evidence associated with the first vicinity of the first vehicle. |
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In various embodiments, a system can be onboard a first vehicle. In various aspects, the system can capture, via one or more first cameras or one or more first microphones of the first vehicle, vicinity data associated with a first vicinity of the first 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 first vehicle has occurred in the first vicinity of the first vehicle. 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In various embodiments, a system can be onboard a first vehicle. In various aspects, the system can capture, via one or more first cameras or one or more first microphones of the first vehicle, vicinity data associated with a first vicinity of the first 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 first vehicle has occurred in the first vicinity of the first vehicle. In various cases, the system can record, in response to a determination that the vehicular collision has occurred and via the one or more first cameras or the one or more first microphones, first post-collision evidence associated with the first vicinity of the first vehicle.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE CALCULATING CHECKING-DEVICES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING GENERATING RANDOM NUMBERS PHYSICS REGISTERING OR INDICATING THE WORKING OF MACHINES TIME OR ATTENDANCE REGISTERS VOTING OR LOTTERY APPARATUS |
| title | ARTIFICIALLY INTELLIGENT PROVISION OF POST-VEHICULAR-COLLISION EVIDENCE |
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