Denso Ten Limited

Ryusuke Seki

Yasutaka Okada

Yuki Katayama

Rei Hiromi

Hiroshi Yamada

Kimitaka Murashita

Hiroyuki Watabe

Yoshikuni Miki

Aoi Ogishima

Kengo Iino

In an image recognition apparatus, a processor performs, based on an input image and using an image recognition model, a plurality of object detection processes to detect as an object detection region a region in the input image where a recognition target object is judged to be present. In the plurality of object detection processes, a plurality of mutually different image recognition models are used. The processor generates inference result data according to the degree of overlap among a plurality of object detection regions detected in the plurality of object detection processes.

Image recognition apparatus, image recognition method, and a learning data set generation apparatus

An object to reduce a possibility that a detection target appearing in a captured image is not detected. In order to achieve such an object, an image processing device includes: a first detection unit that is configured to detect a predetermined object and a predetermined part of the predetermined object from an acquired captured image; a setting unit that sets a detection range in the captured image based on a detection result of the first detection unit in a case where only the predetermined object out of the predetermined object and the predetermined part has been detected by the first detection unit; and a second detection unit that attempts to detect the predetermined part in the detection range.

Image processing device and image processing method

A vehicle onboard apparatus mounted in a vehicle includes an in-vehicle processing unit that performs image recognition on an input image from a camera mounted in the vehicle. The in-vehicle processing unit performs the image recognition using an image recognition model corresponding to position information of the vehicle and additional reference information different from the position information.

Vehicle onboard apparatus, image recognition system, support apparatus for vehicle onboard apparatus, image recognition method, and model data transmission method

A model generating apparatus includes a measurement unit and a change unit. The measurement unit measures a size of an object appearing on an image included in data set. The change unit changes, based on a distribution of the size, a layer to be connected to a detection unit of a Convolutional Neural Network (CNN) for detecting an object appearing on the image, among layers for extracting feature included in the CNN.

Model generating apparatus and model generating method

In a travel status recording apparatus, a data acquisition unit acquires first travel status data and second travel status data indicating a travel status in relation to a vehicle. An event detection unit detects a predetermined event that occurs in relation to the vehicle based on the first travel status data acquired. In response to the predetermined event being detected, a data analysis unit analyzes the second travel status data using artificial intelligence. A recording control unit records, in a storage unit, an analysis result of the second travel status data in association with event detection information in relation to the predetermined event.

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Kobe, Japan

Ryusuke Seki