Denso Corporation

Tomoo Nomura

Tsuyoshi Tanaka

Shigehiro Muto

Motohiro Fukumoto

Yoshimasa Usui

In response to confirmation request from an onboard terminal in a state where updated data after start of a temporary road change is available, a map update server distributes the updated data and instructs the onboard terminal to temporarily use the updated data. In response to the confirmation request in a state where the updated data after end of a temporary road change is available, the server instructs the onboard terminal to use the updated data from before the start of the temporary road change. In response to being instructed to temporarily use the updated data, the terminal uses the updated data that has been distributed. In response to being instructed to use the updated data from before the start of a temporary road change, the terminal temporarily uses the updated data by using map data from before the start of the temporary road change instead of the updated data.

Map update method, map update server, and onboard terminal

A sign recognition system according to an exemplary aspect of the present disclosure is configured to, when image data of a sign is captured by a vehicular camera, recognize one or more characters, which are included in the sign and belong to at least one specified character type, from the image data, thus extracting, from the image data, the recognized one or more characters. The sign recognition system is also configured to store a sign dataset in a sign database; the sign dataset includes (i) an installation-position information item indicative of the installation position of the sign, and (ii) an attribute information item about the sign.

Method and system for recognizing sign

A travel path data generation apparatus includes an intersection feature data generator that, by using data of travel paths outside intersections, generates intersection feature data representing features of the intersections and a sample data generator that associates the intersection feature data with motion trajectory data showing actual motion trajectories of vehicles inside intersections and generates sample data serving as samples of association between the feature of the intersection and the actual motion trajectories inside the intersection; and a travel path data generator that searches the sample data for the sample that to corresponds to specific intersection feature data representing a feature of a given intersection; specifies the motion trajectory data associated with the specific intersection feature data; and provides the specified motion trajectory data as data of travel paths inside intersections that corresponds to the given intersection.

Apparatus for generating data of travel path inside intersection, program for generating data of travel path inside intersection, and storage medium

A travel path data generation apparatus for generating travel path data inside an intersections for automated driving includes a travel path data generator that generates the data of the travel path in such a way that, using an absolute trajectory of actual traveling of a vehicle inside the intersection, the travel path data generator fits an estimated trajectory of the actual traveling of the vehicle inside the intersection into data of lane network connected to the intersection.

Apparatus for generation of data of travel path inside intersection, program for generation of data of travel path inside intersection, and storage medium

An all-one-way network data for autonomous driving is generated according to traffic information of a road data included in a navigation map data. The lane network data for autonomous driving is generated based on the all-one-way network data according to information of a numerical number of lanes in the road data. A virtual lane boundary data is generated based on the all-one-way network data. A position of the lane network data and a position of the virtual lane boundary data are corrected according to a basic road map data and an aerial photograph data.

Lane network data generation apparatus and storage medium

A vehicle unit in a vehicle determines whether the driver has encountered a difficult spot, which is difficult to understand, based on the deviation from a route, the behavior of the vehicle, and the behavior of the driver. A standard for determining the difficult spot can be corrected by learning. The vehicle unit acquires a raw image picked up at the difficult spot. The raw image is used to verify the determination of the difficult spot. The vehicle unit transmits the raw image to a center unit in a distribution center. The center unit creates a clean image based on a plurality of raw images transmitted from a plurality of vehicles. The clean image that does not show moving objects such as pedestrians and other vehicles is distributed to a succeeding vehicle arriving at the difficult spot. The vehicle unit displays the distributed clean image as a guidance image.

Vehicular navigation system

A vehicle navigation system disposed in a vehicle executes a route guidance function that calculates a first route by prioritizing a special lane over a normal lane as a route calculation condition and performs route guidance when a special lane use option is turned on. A determination unit determines whether the vehicle is traveling in a parallel route section in which the special lane and normal lane are in parallel. If the vehicle is traveling in the parallel route section, a second route calculation unit calculates a second route towards the destination based on an assumption that the vehicle is traveling in the normal lane. In addition, a second route guidance unit outputs a second guidance phrase at a second guidance point, such that the second guidance phrase includes a conditional phrase that conveys that the vehicle is not in the special lane.

Vehicle navigation system

A navigation apparatus in a vehicle displays road names of cross roads that crosses a to-be-traveled road along the to-be-traveled road at positions that area adjacent to respective cross roads. In this manner, a user of the navigation apparatus easily recognizes the road names of the roads to be traveled by the vehicle in his/her view.

Navigation apparatus

When a vehicle deviates from an initial route, a deviation route is memorized. Thereafter, when the vehicle comes back to the initial route, a cost is compared between the deviation route and a non-traveled route included in the initial route. When the cost of the deviation route is larger, the non-traveled route is supposed to be impassable due to road traffic closure or the like and then a detour coefficient is assigned to links included in the non-traveled route. When a route retrieval is conducted next, a cost of a link to which the detour coefficient is assigned is increased based on the detour coefficient. The detour coefficient is increased depending on a frequency of detouring.

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Nagoya, Japan

Tomoo Nomura