Mitsubishi Electric Corporation

Mitsubishi Electric Research Laboratories, Inc.

Yohei Miki

Shu Murayama

Yoshihiro Ogawa

Hiroshi Yoshida

Yoshiaki Watanabe

Yuichi Taguchi

Srikumar Ramalingam

Masahiro Abukawa

Ichiro Furuki

Takeo Fujita

Michinori Yoshida

Takefumi Hasegawa

Takehisa Mizuguchi

Takeshi Mitsui

Yasunori Tsubaki

Esra Cansizoglu

Kentaro Ishikawa

Koji Miyahara

Takafumi Kasuga

Toshiharu Aiura

Hitoshi Fujimoto

A distance measurement correction device () corrects distance measurement information () between a sensor () and a body. A movement calculation unit () calculates respective movement distances of the body with respect to the sensor () in a plurality of directions as pieces of movement information (), on the basis of a difference between distance measurement information () measured on a current occasion by the sensor () and distance measurement information measured on a previous occasion by the sensor (). A correction direction extraction unit () calculates movement velocities of the body as body movement velocities using the respective pieces of movement information () for the plurality of directions and extracts a direction, for which the distance measurement information () is to be corrected, as a correction direction () from among the plurality of directions, on the basis of the body movement velocities. A distance measurement information correction unit () calculates a distance from the sensor () to the body for the correction direction () at a correction time point between a time point of measurement on the previous occasion by the sensor () and a time point of measurement on the current occasion by the sensor as post-correction distance measurement information ().

Distance measurement correction device, distance measurement correction system, distance measurement correction method, and computer readable medium

An in-vehicle sensor () measures a distance by observing reflected waves of a plurality of signals having radiation angles that are different from each other at least in a perpendicular direction. In a sensor control apparatus (), a ground detection unit () detects the ground based on a measurement result of the in-vehicle sensor (). A sensor control unit (), according to a relationship between radiation angles of a plurality of signals from the in-vehicle sensor (), and the measurement result of the in-vehicle sensor (), adjusts, of these plurality of signals, radiation angles of at least some signals next time when the at least some signals are radiated from the in-vehicle sensor ().

Sensor control apparatus, vehicle, sensing method, and computer readable medium

In an object detection apparatus (), a sorting unit () obtains data indicating a measurement result of a distance of each signal that a sensor () radiated from the sensor (). The sorting unit () sorts the data obtained into first data indicating that the distance was not measured, second data indicating a distance to one or more obstacles, and third data indicating a distance to the ground. A determination unit (), by referring to the third data, determines whether or not the ground exists in a first area which is a radiation destination area of a signal corresponding to the first data. An estimation unit () estimates, when the determination unit () determines that the ground exists in the first area, and when the first area and a second area, which is a radiation destination area of a signal corresponding to the second data, are adjacent, that one obstacle exists straddling the first area and the second area.

Object detection apparatus, vehicle, object detection method, and computer readable medium

A first image-data acquisition unit () acquires a plurality of pieces of image data in which different areas in a facility in which an autonomous driving vehicle conducts autonomous traveling are shown. A priority setting unit () analyzes a status shown in each of the plurality of pieces of image data and sets a priority to each image data. A first image-data display unit () decides a display mode at a time of displaying the plurality of pieces of image data according to the priority set by the priority setting unit ().

Information processing device, information processing method, and computer readable medium

A missing area specification unit () specifies, in a coverage area assigned to a sensor in charge to detect a position, a missing area that is not detected by assigned data being sensor data acquired by the sensor in charge. An interpolation data extraction unit () extracts sensor data whereby the missing area is detected, the sensor data being acquired by a sensor other than the sensor in charge, as interpolation data. A detection data generation unit () generates detection data of the coverage area by integrating the assigned data and the interpolation data.

Sensor data integration device, sensor data integration method and computer readable medium

A method calibrates one or more cameras, wherein the one or more cameras acquire images of a scene for different viewpoints, and wherein the images are non-overlapping, by first constructing a 3D model of the scene using a calibration camera that is independent of the one or more cameras, and a simultaneous localization and mapping (SLAM) procedure. 2D-to-3D correspondences between each of the images and the 3D model are determined. Then, calibration parameters of each of the one or more cameras are estimated using a 2D-to-3D registration procedure.

Method for calibrating cameras with non-overlapping views

A subject detecting unitcalculates a subject position on the basis of a subject region obtained by calculating the difference between an overhead image generated from an image for difference calculation stored in an image for difference calculation storage unitand an overhead image generated by an overhead image generating unit. A projection plane calculating unitforms a projection plane at the subject position, and a subject image generating unitprojects camera images of image taking devicestoonto the projection plane, and generates a subject image. A display image generating unitoutputs to a displayan image formed by synthesizing the subject image with the overhead images generated by the overhead image generating unit

Image processing device and image processing method

An image processing device, an image processing system, and an image processing method according to the present invention include a mask determining unit that determines a vertical relation in an overlapping area when a video window and a still image window overlap. As a result of a determination, if it is decided that the still image window overlaps as an upper window, the mask process is performed, and if it is decided that the still image window overlaps as a lower window, the mask process is not performed, thereby allowing an appropriate composite image to be obtained regardless of the vertical relation in the overlapping area of the video window and the still image window.

Image processing system

Based on a vehicle driving condition indicated by vehicle control information, an image area to be displayed is determined from a panorama image of a vehicle periphery and a judgment is made about a collision possibility between a vehicle outside object appearing in the image area and the vehicle, so that a display image including the image area is generated and displayed on a displayand the vehicle is controlled to avoid its collision with the vehicle outside object according to a result of the judgment about the collision possibility.

Vehicle periphery display device

In a state in which a reference light source emits light, display elements of a display device are caused to light up in each of lighting patterns for causing any adjacent display elements not to light up simultaneously. A captured image acquirer acquires image data about an image captured in each of the lighting patterns, a display element position calculator determines the position of each of the display elements and the position of the reference light source on each of the images, a display element brightness calculator calculates brightnesses from the pixel values at the determined positions, a relative brightness calculator calculates a relative brightness of each of the display elements with respect to the brightness of the reference light source, and a display element output coefficient calculator calculates coefficients for making the brightnesses of the display elements uniform.

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Tokyo, Japan

Yohei Miki