Nissan Motor Company Limited

Renault S.a.s.

Seigo Watanabe

Hiroshi Takahashi

Norimasa Kishi

Takura Yanagi

Yoshinori Kusayanagi

Hiroya Fujimoto

Takehiro Miyoshi

Kazumasa Fujita

Masanori Yoshihira

Shingo Kajiwara

Yoshiro Takamatsu

Naoki Kojo

Yoshihiro Satoh

Toshiyuki Andou

Rumiko Oshima

Jeanphilippe Alexander

Tarek Saad

Masahiko Sakamoto

Terminal () used by a user includes a transmitter configured to transmit desire information required for determining a desired facility desired by the user to a server () via a telecommunications network. The server () includes a destination setting unit configured to set a destination of a vehicle on the basis of the desire information and a facility information acquisition unit configured to acquire, via the telecommunications network, facility information including information indicative of an empty situation of the desired facility. The vehicle includes an arrival time adjustment unit configured to manage a travel of the vehicle on the basis of the facility information to adjust an arrival time at which the vehicle arrives at the destination.

Vehicle management system, vehicle management device, and vehicle management method

The present disclosure includes receiving, by a server (), experience information via a telecommunications network () from each of terminals () carried by respective users (A to E), the experience information being information regarding an experience desired by each of the users; extracting, in the server, two or more users to generate a single community for the experience information of the two or more users, the two or more users transmitting the experience information having a similarity level not less than a predetermined threshold; extracting, in the server, a destination () associated with the experience information having the similarity level not lower than the predetermined threshold using a database () configured to preliminarily store the experience information and the destination in association with each other; and transmitting the destination from the server via the telecommunications network to the terminals carried by the two or more users who constitute the single community.

Destination proposal system, proposal device, and proposal method

A surrounding situation display method of detecting a surrounding situation around a host vehicle with an autonomous driving function and displaying the detected surrounding situation, includes displaying, in a varying display bar that has a prescribed display frame and displays an indication position within the display frame in synchronization with movement of an attention target, the indication position having moved to one endpoint of the varying display bar as a timing when an action of the host vehicle is changed by the autonomous driving function.

Surrounding situation display method and surrounding situation display device

A display control device includes: a turn signal installed in a vehicle; indicators for displaying a lighting state of the turn signal to an occupant of the vehicle; and a controller for controlling the lighting state of the turn signal and a lighting state of the indicators. The controller makes timing of starting to turn on the turn signal and timing of starting to turn on the indicators different from each other.

Display control method and display control device

A mobile body surroundings display method is performed by a mobile body surroundings display apparatus that includes an image capturing element that acquires surroundings information on a mobile body by image capturing, a controller that creates a captured image using the surroundings information and a virtual image representing a situation around the mobile body, and a display that displays the virtual image. The method detects an attention-required range around the mobile body, creates a captured image of the attention-required range, and displays the captured image of the attention-required range on the display.

Mobile body surroundings display method and mobile body surroundings display apparatus

A scene understanding device obtains map data where one, two or more obstacle detection frames, shaped corresponding to a road structure, for detecting an obstacle are set in advance for a specific spot on a road where a vehicle would otherwise bump into a vehicle or a pedestrian. The scene understanding device determines whether there exists an obstacle in the obstacle detection frames set for the specific spot on a scheduled traveling route of a host vehicle, and calculates the degree of risk at the specific spot based on a result of determining whether there exists an obstacle therein.

Scene understanding device

An occlusion control device includes: a map obtaining unit that obtains map data with a close observation detecting criterion set in each of one or more close observation regions in which presence or absence of a moving object should be closely observed; a proportion calculator that calculates proportion of a blind spot for a host vehicle with respect to the close observation detecting criterion; and a behavior determining unit that selects coping behavior of the host vehicle based on the proportion.

Occlusion control device

Captured images obtained beforehand by imaging ranges corresponding to peripheries of a vehicle, or processed images generated to correspond to the captured images are stored to be associated with stored road information of a preset area. A superimposed area having a clarity lower than a preset clarity threshold is set in a captured image of a periphery of the vehicle. A superimposition image is extracted among the stored images, the superimposition image being an image of a range corresponding to the captured image. A superimposed image is generated by superimposing an image in an area in the extracted superimposition image corresponding to the superimposed area on the captured mage. A video generated from the superimposed image is displayed at a position visible from a driver.

Vehicular display apparatus, vehicular display method, and vehicular display program

Based on an image imaged by an imaging unit (), feature points of a plurality of objects present around a vehicle are detected by a feature point detecting unit (). A first distance from the feature point to the imaging unit () is calculated based on a temporal change of the feature point. A second distance from a certain object included in the plurality of objects present in the image to the imaging unit is calculated using some pixels of the certain object. The first distance of the plurality of feature points, other than the certain feature point, simultaneously detected by the feature point detecting unit () is modified based on a ratio of the first distance and the second distance.

Distance measurement device and environment map generation apparatus

A motion detection apparatuses and method where a characteristic region is extracted from an image produced by an imaging device are described. A modified region is formed by modifying the characteristic region. Voting occurs so as to count up to increase a count value at a memory address corresponding to a location inside the modified region and to reset a count value at a memory address corresponding to a location outside the modified region. At least one of the moving direction and the moving speed of the modified region is calculated based on a difference among accumulated count values for adjacent locations. The position of the modified region can be calculated based on count values and locations in the modified region.

Motion detecting method and apparatus

A motion detection device includes a feature extracting sectionextracting a feature area of an object from among frame images clipped by an image pickup section, a feature standardizing sectionstandardizing a size of a feature area extracted by the feature extracting section, a balloting sectioncounting up a ballot value of an image area on a frame image located in a standardized pattern that is standardized by the feature standardizing section, and a shift speed detecting sectioncalculating a gradient of a counted-up ballot value and calculating a shift direction, a shift speed and position of a feature area based on the gradient.

Motion detection apparatus and motion detection method

Imaging device picks up an image of the area around a vehicle, edge extraction function extracts an edge image from the image picked up by the imaging device, edge width standardization function standardizes an edge width of the edge image extracted by the edge extraction function, counting functions increments a count value corresponding to a position where the edge image standardized by the edge width standardization function is detected, and also initializes a count value corresponding to a position where the standardized edge image is not detected, moving speed detection function calculates a moving direction and moving speed of the edge image extracted by the edge extraction function based on the inclination of the count values, and collision time calculation function calculates the time of collision with an object by utilizing the position and the moving speed of the edge image calculated by the moving speed detection function.

Collision time estimation apparatus for vehicles, collision time estimation method for vehicles, collision alarm apparatus for vehicles, and collision alarm method for vehicles

An apparatus for recognizing an environment includes imaging unit () for picking up surroundings of a vehicle equipped with the apparatus so as to obtain a surrounding image, filter processing unit () for providing filter processing to the surrounding image for each predetermined sampling interval so as to obtain a process image and edge information, processed information memorizing unit () for memorizing the process image, image finite differentiating unit () for obtaining a difference image between the process image and a process image before an arbitrary sampling interval, frequency accumulating unit () for accumulating the number of moving pixels for each moving direction based on the edge information and the difference image so as to obtain a cumulative value, and determining unit () for performing determination of a surrounding environment in accordance with the cumulative value of the frequency accumulating unit ().

Apparatus for recognizing environment

In method and apparatus for detecting a position of an object present in a surrounding detection zone of an automotive vehicle, a distance of the vehicle to the object is measured, the surrounding detection zone of the vehicle is photographed, the photographed surrounding detection zone to extract is image processed at least one longitudinal edge from the photographed surrounding detection zone of the vehicle, and the position of the object to the vehicle is detected on the basis of a direction of the extracted longitudinal edge and a measured value of the distance to the object.

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Kanagawa, Japan

Seigo Watanabe