Toyota Jidosha Kabushiki Kaisha

Ryosuke Tachibana

Kenki Ueda

Takashi Kitagawa

Shinichiro Kawabata

Takanori Kato

Toshihiro Yasuda

Hidetoshi Nitta

Kohei Harayama

Mizuki Mori

Hirofumi Ohashi

Tetsuo Takemoto

A stop detection device includes: an acquirer that acquires multiple captured images captured in chronological order by a camera mounted on a vehicle; an image processor that performs image processing on acquired multiple captured images; and a detector that detects vehicle speed of a vehicle at a stop position based on a result of image processing. The image processor includes a stop position identification unit that detects a marking indicating a stop position from a captured image to identify a stop position, and a vehicle speed calculation unit that calculates vehicle speed by comparing captured images in chronological order. The vehicle speed calculation unit excludes a specific region from each of multiple captured images to compare captured images.

Stop detection device and stop detection method

In an information processing device (a server device), a first acquirer acquires multiple captured images of the outside of a vehicle. A detector detects, from acquired multiple captured images, multiple images related to unsafe driving using a learned model. An image extractor extracts, from detected multiple images related to unsafe driving, an image to be a candidate for relearning data of the learned model.

Information processing device and information processing method

A driving evaluation device includes a first memory and a first processor that is coupled to the first memory. The first processor is configured to cause driving information pertaining to dangerous driving incidents collected from a vehicle to be stored in a storage unit together with types and danger ratings of the dangerous driving incidents, generate evaluation information pertaining to a driver of the vehicle based on the driving information collected from the vehicle, retrieve dangerous driving incidents pertaining to the driver based on at least one of the types or the danger ratings, and provide to a user the evaluation information that has been generated and driving information pertaining to the dangerous driving incidents that have been retrieved.

Driving evaluation device, driving evaluation system, driving evaluation method, and non-transitory storage medium

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Tokyo-to, Japan

Ryosuke Tachibana