Nippon Telegraph and Telephone Corporation

Ntt Corporation

Kouhei Mori

Yuki Yokohata

Manabu Yoshida

Ippei Shake

Atsuhiko Maeda

Takahiro Hata

Satoshi Fukada

A driving assistance device includes a hardware processor and a memory, in which the hardware processor is configured to execute: acquiring image data captured in a vehicle and sensor data relating to a driving operation; converting an image in each frame included in the image data into an image feature amount indicated by the image; combining the image feature amount and the acquired sensor data; performing, based on the combined data, a learning process for a driving assistance information learning model used when a target value relating to the driving operation by a driver of the vehicle is generated from the image feature amount included in the combined data; and generating, when new image data captured in the running vehicle is acquired, the target value relating to the driving operation based on the image feature amount converted from the acquired new image data and the driving assistance information learning model.

Driving assistance device and method, and storage medium in which program is stored

A technique of estimating, based on a camera image captured from a mobile object, the position coordinates of an ambient object or the mobile object itself is offered. A plurality of camera images that are captured at different geographical locations and contain at least one identical stationary object are acquired; position coordinates of the imaging locations of the corresponding camera images are acquired; and the position coordinates of the stationary object are estimated based on the position coordinates of the imaging locations and gaze vectors oriented from a camera to the stationary object in each of the camera images. Alternatively, a camera image that contains at least two stationary objects having position coordinates that are known is acquired; and the position coordinates of a location at which the camera image is captured are estimated based on the position coordinates of each of the stationary objects and a gaze vector oriented from the camera to each of the stationary objects in the camera image.

Position coordinates estimation device, position coordinates estimation method, and program

A lane pricing technique for charging a mobile body traveling on a road for use of a lane is provided. A lane pricing device according to one embodiment is configured to: acquire from a mobile body traveling on a road, at least one of position information of a mobile body measured based on a positioning signal, and/or a camera image that is acquired by capturing an image from the mobile body and includes a part of a lane in which the mobile body is moving; specify, based on at least one of the position information and/or the camera image, a lane in which the mobile body is moving; acquire lane identification information for identifying a specified lane along with time information indicative of time when the mobile body is moving; and determine and output a toll to be charged to the mobile body in units of lanes based on the lane identification information and the time information.

Lane pricing system, lane pricing device, method, and program

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Musashino, Japan

Kouhei Mori