Nissan Motor Company Limited

Renault S.a.s.

Naoki Kojo

Daisuke Saito

Motonobu Aoki

Hiroyuki Takano

Tomoko Kurotobi

Takura Yanagi

Ichiro Yamaguchi

Seigo Watanabe

Satoshi Kawai

Masahiro Miura

Toshiyuki Andou

Shuyang Jia

Mauro Della Penna

In a vehicle dispatch management system which manages a plurality of shared vehicles () and dispatches the shared vehicles in response to a dispatch request from a user, the vehicle dispatch management system includes: an individual cruising distance calculation device () configured to calculate a cruising distance of each of the shared vehicles; a total cruising distance calculation device () configured to calculate a total cruising distance of all of the shared vehicles; an energy supply determination device () configured to determine a necessity of traveling energy supply of the shared vehicle when the total cruising distance is equal to or less than a first predetermined value; and a supply instruction device () configured to instruct a supply instruction to the shared vehicle determined to be supplied on the basis of determining the necessity of traveling energy supply of the shared vehicle.

Vehicle dispatch management device and vehicle dispatch management method

A vehicle dispatch service boarding location determination method uses a vehicle dispatch information data server and a terminal to determine a boarding location for a dispatched vehicle based on a vehicle dispatch request from the terminal. When there is a vehicle dispatch request, position information of a vehicle dispatch request point is acquired. Boarding location candidates present in a periphery of the vehicle dispatch request point are calculated based on the position information point and map information. A boarding location recognition difficulty, which is a difficulty for the user in recognizing the boarding location candidate as a boarding location, is calculated for each of the boarding location candidates. A boarding location candidate for which the boarding location recognition difficulty is low among the boarding location candidates is determined as the boarding location where the user will be picked up by the dispatched vehicle.

Vehicle dispatch service boarding location determination method, and vehicle dispatch service boarding location determination device

A boarding position setting method, a boarding position setting device, and a boarding position setting system are provided. The boarding position setting method, the boarding position setting device, and the boarding position setting system each recognizes a stop position of a vehicle based on vehicle information, determines whether the stop position is suitable for boarding based on a stop time of the vehicle or occurrence of a boarding event of the vehicle at the stop position, stores the stop position determined to be suitable for boarding as a boarding position in the vehicle dispatch service, acquires a first vehicle dispatch request to the vehicle dispatch service and sets the boarding position based on the first vehicle dispatch request from among stored boarding positions.

Boarding position setting method, boarding position setting device, and boarding position setting system

A lane information management method for managing lane information using a processor is provided. This method includes acquiring road map information and information on a travel history that is represented by a travel trajectory on a road map, determining, using a plurality of the travel histories, whether or not a lane connected to an intersection is in a multiple lane form in which two or more lines of vehicles are formed on a single lane, and managing the lane information, including a result of determination of the multiple lane form in the lane information.

Traffic lane information management method, running control method, and traffic lane information management device

A boarding-alighting position determination method determines a boarding position and an alighting position in a vehicle dispatch system that dispatches a vehicle in response to a vehicle dispatch request. A plurality of boarding position candidates and a plurality of alighting position candidates are calculated around a geographical point from which the vehicle dispatch request was transmitted. A vehicle position is detected when the vehicle dispatch request was transmitted. For each boarding position candidate, a travel route is calculated from the vehicle position at a time of the vehicle dispatch request to at least one of the alighting position candidates via the boarding position candidate. A travel time is calculated for the vehicle to travel the travel route calculated for each of the boarding position candidates. A selected boarding position is determined from among the boarding position candidates based on the traveling time for each boarding position candidate.

Boarding-alighting position determination method, boarding-alighting position determination device, and boarding-alighting position determination system

A vehicle allocation system is provided, which operates to move a vehicle to a predetermined point in response to a request from a user. The vehicle allocation system includes a boarding point determination apparatus, a control apparatus, and a user terminal apparatus. The boarding point determination apparatus includes a processor that operates to specify a second user who is expected to board in a predetermined range including a point associated with a first user, and calculate as the predetermined point a common point at which users including at least the first user and the second user board.

Boarding point determination method and boarding point determination device

A method of storing a travel history uses a controller to store the travel history of a vehicle in a storage device for each link of a traveling path. The method includes determining that one or more travel histories in a link are one type or two or more types of travel histories on the basis of a predetermined determination condition and storing the two or more types of travel histories in the link in the storage device so as to be sorted for the determined two or more types.

Travel history storage method, method for producing travel path model, method for estimating local position, and travel history storage device

A driving assistance apparatus comprises a processor for: determining whether or not a preceding vehicle is traveling outside an area including an intersection and vicinities of the intersection; when the preceding vehicle is traveling outside the area, determining whether or not a direction indicator of the preceding vehicle on a road shoulder side is lighting; and when the direction indicator is lighting, performing second driving assistance different from first driving assistance for following the preceding vehicle.

Driving assistance device and driving assistance method

A driving assistance method of causing a host vehicle to travel by following a preceding vehicle includes: determining whether the preceding vehicle of the host vehicle is present or absent and, upon determining that the preceding vehicle is present, performing a preceding vehicle type determination of determining whether the preceding vehicle of the host vehicle is a four-wheeler or a two-wheeler; upon the preceding vehicle being a four-wheeler, performing both a control of inter-vehicle distance to the four-wheeler and a route following based on the four-wheeler; and upon the preceding vehicle being a two-wheeler, performing a control of inter-vehicle distance to the two-wheeler without performing a route following based on the two-wheeler.

Driving assistance method and driving assistance apparatus

A parking assist method includes acquiring recognition information on parked vehicles existing in a parking lot; extracting two or more vehicles parked side by side from the recognition information and grouping the two or more vehicles into a set of vehicles; and when a space into which parking is possible exists between the parked vehicles included in the grouped set of vehicles, estimating the space as an available parking space. The disclosure further includes setting a pathway direction reference line extending along a pathway of the parking lot; calculating reference distances between the pathway direction reference line and the parked vehicles included in the above recognition information; and extracting the two or more vehicles from the above recognition information and grouping the two or more vehicles into the set of vehicles on the basis of the calculated reference distances.

Method and device for parking assistance

A method is provided which comprises: acquiring, from a set of ranging sensors, recognition information about a plurality of parked vehicles existing in a parking frame group comprising a plurality of parking frames arranged side by side; selecting representative points of the parked vehicles from the recognition information; calculating a distance between representative points that is a distance between the representative points adjacent to each other; and calculating a width of the parking frames on the basis of the distance between representative points.

Parking support method and device

A method is provided which comprises: acquiring recognition information about parked vehicles; setting a virtual parking frame group in which a parking frame group is virtualized, the parking frame group comprising a plurality of parking frames; aligning the virtual parking frame group with respect to the recognized parked vehicles; and determining the aligned virtual parking frame group as the parking frame group comprising the plurality of parking frames. The virtual parking frame group comprises a plurality of virtual parking frames that have the same size and are arranged side by side or parallel along a predetermined straight line.

A moving-object position/attitude estimation apparatus includes: an image-capturing unit configured to acquire a captured image; a comparative image acquiring unit configured to acquire a comparative image viewed from a predetermined position at a predetermined attitude angle; a likelihood setting unit configured to compare the captured image with the comparative image and to assigns a high attitude angle likelihood to the comparative image and to assigns a high position likelihood to the comparative image; a moving-object position/attitude estimation unit configured to estimate the attitude angle of the moving object based on the attitude angle of the comparative image assigned the high attitude angle likelihood and to estimate the position of the moving object based on the position of the comparative image assigned the high position likelihood.

Moving-object position/attitude estimation apparatus and moving-object position/attitude estimation method

A traffic signal recognition apparatus includes a control device that executes: a captured image acquisition function which acquires a captured image around an own vehicle; an own vehicle position acquisition function which acquires a current position of the own vehicle; a target traffic signal specifying function which refers to map information to specify a traffic signal to be targeted in a traveling link for the own vehicle, the traffic signal data including position information about the traffic signal related to the traveling link; a traffic signal image area extraction function which extracts an image area of the traffic signal on the basis of the position information about the traffic signal and image capturing property information about the camera; and a traffic signal content recognition function which recognizes a traffic signal content of the traffic signal on the basis of an image of the traffic signal in the image area.

Traffic signal recognition apparatus

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.

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Kanagawa, Japan

Naoki Kojo