Abstract: An information processing device includes a first determination section and a first output section. First output data is obtained from a trained model, which has being trained beforehand, by input of first input data to the trained model. Second output data is obtained from the trained model by input of second input data to the trained model, in which second input data a perturbation of a specified perturbation amount is applied to the first input data. The first determination section makes a determination as to whether a change amount of the second output data relative to the first output data is not more than a pre-specified threshold. The first output section outputs information representing the first input data and a perturbation amount for which the change amount is determined by the first determination section to be not more than the threshold.

Abstract: The retrieval device extracts a feature corresponding to search text by inputting the search text into a pre-trained text feature extraction model. The retrieval device then, for plural combinations stored in a database associating a text description including plural sentences, with a vehicle-view video, and with vehicle behavior data representing temporal vehicle behavior, computes a text distance represented by a difference between a feature extracted from each sentence of the text description associated with the video and vehicle behavior data, and the feature corresponding to the search text. The retrieval device outputs as the search result a prescribed number of pairs of video and vehicle behavior data pairs in sequence from the smallest text distance according to the text distances.

Abstract: A danger prediction device includes a processor. The processor is configured to acquire, from a traveling vehicle, position information for the traveling vehicle on a travel path and behavior information for the traveling vehicle at a location corresponding to the position information, compile, from a plurality of acquired items of behavior information, behavior information corresponding to position information for locations having a similar attribute, and input compiled behavior information to a prediction model generated based on pre-gathered vehicle behavior information and a danger level corresponding to the pre-gathered vehicle behavior information, and perform danger prediction for a location corresponding to the compiled behavior information.

Abstract: An information processing device includes a first determination section and a first output section. First output data is obtained from a trained model, which has being trained beforehand, by input of first input data to the trained model. Second output data is obtained from the trained model by input of second input data to the trained model, in which second input data a perturbation of a specified perturbation amount is applied to the first input data. The first determination section makes a determination as to whether a change amount of the second output data relative to the first output data is not more than a pre-specified threshold. The first output section outputs information representing the first input data and a perturbation amount for which the change amount is determined by the first determination section to be not more than the threshold.

Abstract: The retrieval device extracts a feature corresponding to search text by inputting the search text into a pre-trained text feature extraction model. The retrieval device then, for plural combinations stored in a database associating a text description including plural sentences, with a vehicle-view video, and with vehicle behavior data representing temporal vehicle behavior, computes a text distance represented by a difference between a feature extracted from each sentence of the text description associated with the video and vehicle behavior data, and the feature corresponding to the search text. The retrieval device outputs as the search result a prescribed number of pairs of video and vehicle behavior data pairs in sequence from the smallest text distance according to the text distances.