Denso Corporation

Denso It Laboratory, Inc.

Nobuhiro Mizuno

Yasuhiro Shimizu

Hirotoshi Iwasaki

Takamitsu Suzuki

Masahiro Iida

Masanori Oumi

Kosuke Hara

Kazunao Yamada

Yasushi Sakuma

Yusuke Mizuno

Kousuke Hara

Takayuki Matsunaga

Seiji Kato

Ikuro Sato

Yoichi Motomura

A curve-shape modeling device that divides multiple sampling points along a route into a linear section, a relaxation curve section and a steady section, and models a curve shape of the route, includes: a curve extraction unit that extracts a curve from the sampling points based on a curvature of the sampling points; a steady section curvature determination unit that determines a curvature of the steady section based on a curvature of sampling points included in an extracted curve; and a curve entry and exit determination unit that sets a predetermined curvature range including the curvature of the steady section, and determines a start point and an end point of the steady section based on the curvature range.

Curve-shape modeling device, vehicle information processing system, curve-shape modeling method, and non-transitory tangible computer readable medium for the same

In a living area data generation section, a road link having the number of times of traveling not less than a predetermined number of times is acquired based on travel history data, and a predetermined area including the road link is determined as a living area. In a user model generation section, based on the travel history data, the number of outings is acquired by necessary time for outing, according to whether the destination is in a living area or non-living area, and model data of user's outing pattern is generated. In a search condition determination section, based on the model data, a facility search range is determined, and a ratio between the numbers of facilities to be searched for from the living area and non-living area is determined as a search condition. In a facility search section, search is conducted for facilities conforming to the condition and to be presented.

Destination proposal system, destination proposal method, and storage medium for program product

A navigation apparatus transmits current position information to a server. The server transmits course data to the navigation apparatus; the course data indicates a course that is predicted based on the current position information. The navigation apparatus corrects a subsequently measured current position on the course specified by the course data. The navigation apparatus transmits corrected position information indicating the corrected position to the server. The server distributes map data to the navigation apparatus; the map data corresponds to a specified area containing the corrected position specified by the corrected position information. Based on the received map data, the navigation apparatus displays a map near the corrected position on a screen of a display portion.

Map display system

A curve modeling device includes a curvature calculation unit, a curvature correction unit, and a node information generation unit. The curvature calculation unit calculates a curvature of each sampling point on a route based on location information of each sampling point. The curvature correction unit corrects the curvature at each sampling point and approximates the route by a straight line interval, an arc interval, or a smooth curve interval. The node information generation unit builds a shape model of a curve included in the route by generating node information indicative of a node location on a road corresponding to the route based on the corrected curvature of the sampling point. The curvature correction unit corrects the curvature under a condition that an orientation difference defined by the calculated curvatures maintains a constant value.

Curve modeling device, curve modeling method, and vehicular navigation device

A destination recommendation system includes a map database storing facility data, a travel history database storing travel history data, a trip destination determination section, a calculation section, a search section, and an output portion. The trip destination determination section determines plural trip destinations corresponding to a hub position when the number or a frequency of a plurality of visits from the hub position to each of the trip destinations satisfies a predetermined condition. The calculation section calculates a distance or necessary travel time from the hub position to each trip destination, and calculates a mode value of the distance or the necessary travel time. The search section searches for a target facility that is located within a range of the mode value of the distance or the necessary travel time. The output portion outputs the target facility to a user.

Destination recommendation system, destination recommendation method and destination recommendation program product

A travel trace storage apparatus includes a location detection device, a positioning trace generation device, a movement distance detection device, a travel direction detection device, a dead reckoning trace generation device for generating a dead reckoning trace, in which each vector determined by a vehicle movement distance and a vehicle travel direction is chronologically arranged, a correction positioning trace generation device for generating a correction positioning trace obtained by removing a location distant from the dead reckoning trace by a predetermined distance or more, a correction dead reckoning trace generation device for generating a correction dead reckoning trace obtained by correcting the dead reckoning trace, an absolute trace generation device for generating an absolute trace obtained by synthesizing the correction positioning trace and the correction dead reckoning trace, an absolute trace memory for storing the absolute trace.

Travel trace storage apparatus

To improve accuracy of determining whether route elements stored as a history are route elements familiar to the user, a navigation apparatusincludes: a passage history storage unitthat stores a history of route elements passed in the past; a memory cost determination unitthat determines memory costs indicative of how less likely a user still has in mind the route elements stored in the passage history storage unitbased on the history stored in the passage history storage unit; a route search unitthat searches for a route leading to a destination by combining the route elements to minimize a route cost of the entire route including the memory costs determined by the memory cost determination unit; and a navigation unitthat performs a route guide in accordance with the route searched by the route search unit

Navigation apparatus, navigation method, and navigation program

An object of this invention is to improve the accuracy of estimating a destination in a destination estimating apparatus. A destination estimating apparatusincludes: a learning data storing unitthat stores a history of a location specified as a destination in the past; a destination estimating unitthat estimates a destination from among a plurality of destination candidates including a location stored in the learning data storing unit; and a candidate excluding unitthat, based on the history stored in the learning data storing unit, excludes a destination candidate for which it is determined that a certainty factor of being a destination is lower than a predetermined threshold value from destination candidates that are estimated as being a destination by the destination estimating unit

Destination estimating apparatus, navigation system including the destination estimating apparatus, destination estimating method, and destination estimating program

A vehicle drive control apparatus for use in a vehicle collects the number of travels in each of road sections in a traveled route for each of travel directions, extracts road sections having been traveled for more than a threshold number for each of travel directions, and stores extracted road sections as control section data maps in a durable storage medium. If the vehicle travels into the road sections stored as the control section data map, the 'stored-as-the-map' road sections are identified as a series of road sections of high-travel-probability. In this manner, a series of road sections can be accurately identified as a high-probability section without having a user input of a travel destination or the like.

Vehicle drive control apparatus, travel section pick-up apparatus and method of picking up travel section

A technology that makes a program line-up related to contents distributed to a user side, depending on various conditions, preferences, and communication environments of the user side that views and listens to the content is disclosed. According to the technology, an on-board device (content receiving and reproducing device)receives, from a service server, potential content list information of contents that can be distributed from a content server. The on-board devicesorts appropriate content from among the contents in the potential content list information and decide on a reproducing order of the contents, based on conditions of the user side, such as user preferences and vehicle conditions, conditions related to an environment on the user side, such as the communication environment, and conditions related to the contents, such as the genre of the content. The on-board devicecreates program table information (timetable) and transmits the program table information to the content server. As a result, reception and reproduction of the contents from the content server can be performed in adherence to the program table information.

Content distributing system and content receiving and reproducing device

An information processing system includes a content providing device () providing content appropriate for a user. The content providing device () includes: a model storage unit () containing a plurality of different models depending on the user attribute; a model determining unit () for selecting a model corresponding to the user attribute from the models stored in the model storage unit (); a Bayesian reasoning unit () for reading out the model determined by the model determining unit () from the model storage unit () and using the read-out model to obtain the content appropriate for the user through probabilistic reasoning; and a recommending unit () for recommending the content obtained by the Bayesian reasoning unit () to the user. The content providing device () further includes a Bayesian learning unit () for learning models by using a user response to the content received from an operating unit ().

Vehicle information processing system for content recommendation using Bayesian network models

A navigation system for providing a destination of a trip and for use in a vehicle includes a position detector for detecting a current position of the vehicle, a condition detector for detecting a combination of a plurality of predetermined vehicle conditions when the vehicle is stopping at a stop location, a first determination unit for determining that the stop location is one of a stop-by place of the trip and the destination of the trip based on the combination of the plurality of the predetermined vehicle conditions detected by the condition detector, a storage unit for storing at least the destination of the trip based on a determination result by the first determination unit and an information provision unit for providing destination information regarding the trip at least based on the destination stored in the storage unit.

Navigation system

When a vehicle deviates from a guide route at a first branch point, the state of the first branch point is memorized. Afterward, when a second branch point becomes a target for a route guide and the state of the second branch point is similar to the memorized state, a user of the vehicle is provided with a guide for preventing deviation from the guide route at the second branch point with a manner of the guide changed. This procedure allows learning of tendency of the user with respect to a state apt to cause the user to mistake a guide route. A guide to help prevent a user from deviating from a guide route at a branch point can be thus performed appropriately.

A navigation system, having a route calculation unit for providing a navigation route from a start point to a destination based on an evaluation of a plurality of cost parameters by an evaluation function, includes a storage unit for storing a weighting factor determination relation for determining a weighting factor of the cost parameter based on a travel situation of predetermined type identified in a specific length of time and a weighting factor determination unit for determining the weighting factor based on the weighting factor determination relation and the travel situation derived from an actual state of traveling.

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Tokyo, Japan

Nobuhiro Mizuno