Toyota Jidosha Kabushiki Kaisha

Denso Corporation

Fujitsu Limied

Asin Aw Co., Ltd.

Fujitsu Tem Limited

Fujitsu Corporation

Aisin Aw Co., Ltd.

Fujitsu Ten Limited

Sayaka Yoshizu

Hironobu Sugimoto

Hideaki Miyazaki

Yoshinori Yokoyama

Hiroshi Takeuchi

Toshiro Hikita

Takao Suzuki

Hirokazu Nomoto

Teruhide Hayashida

Kenji Horiguchi

Ichiro Usami

Toshifumi Obayashi

Shohji Ueoka

Chihiro Sannomiya

Kensuke Hanaoka

Tadashi Yanagihara

Takayuki Suzumiya

Naoki Ihara

Yuki Kimura

A sightline estimation system includes a sightline detection unit, a related information acquisition unit, a holding unit, which holds sightline information, and a difference extraction unit. The difference extraction unit performs a selection process to select, from the related information held in the holding unit, the related information corresponding to the related information acquired at the time of current detection of a sightline of the driver and also extracts the difference between the distribution of sightlines of the driver acquired from the sightline information associated with the selected related information and the distribution of the sightlines acquired within a predetermined period including the current detection of the sightline. The sightline estimation system further includes a sightline estimation unit.

Sightline estimation system and sightline estimation method

A route generation device configured to generate a travel route of a traveling body that travels through a network configured of a node and a link, the route generation device includes a route model storage unit configured to store a route model that is data in which a frequency of travel through each link by the traveling body in a past trip performed by the traveling body is classified by destination of the trip; a trip acquisition unit configured to acquire a route starting point and a destination of a traveling body; and a route generation unit configured to extract a set of links corresponding to the acquired destination from the route model, and generate at least a part of a route of the traveling body from the route starting point to the destination based on the travel frequency associated with the extracted link.

Route generation device and route generation method

A recommended-information providing system outputs recommended information about a destination in order to provide the recommended information for the information terminal. Collecting circuitry collects a plurality of action histories based on a plurality of action patterns of one or more moving bodies. Generating circuitry generates the recommended information for each attribute of the destination, which is a facility with a plurality of entrances, based on the plurality of collected action histories. Outputting circuitry outputs the recommended information generated according to the attribute of the requested destination in order to provide the recommended information for the information terminal.

Recommendation information provision system

Navigation systems, methods, and programs acquire deviated point information regarding a deviated point where a vehicle traveling a set route has deviated the route, and acquire post-deviation travel history information regarding a travel history after a deviated vehicle has deviated the route at the deviated point. The systems, methods, and programs determine based on the post-deviation travel history information for each of the deviated vehicles whether the deviated vehicle has traveled along a reroute set after deviating the route at the deviated point, and judges whether a rate of the deviated vehicles which were determined as having traveled along the reroute is a first predetermined value or more. If the rate of the deviated vehicles which were determined as having traveled along the reroute is the first predetermined value or more, the systems, methods, and programs determine that guidance of the route is not appropriate.

Navigation device, navigation method, and program

An information processing system which includes a center server and a movable body performing a communication with the center server, includes a fuel efficiency information obtainment unit which obtains information on fuel efficiency when the movable body moves in a first direction heading toward the other direction from one direction in a predetermined section and obtains information on fuel efficiency when the movable body moves in a second direction heading toward one direction from the other direction in the section; a comparison unit which compares the fuel efficiency in the first direction with the fuel efficiency in the second direction; and a slope estimation unit which estimates a slope of the section based on a difference between the fuel efficiency in the first direction and the fuel efficiency in the second direction.

Information processing system and information processing device

When there are no evaluation values from a user who has evaluated both contents X and Z, an indirect similarity calculation unitof an arithmetic processing unitof an information processing centerindirectly calculates the similarity between the contents X and Z using evaluation values of a content Y whose evaluation value is present from a user who has evaluated both the contents X and Y and whose evaluation value is present from a user who has evaluated both the contents Y and Z. A predicted evaluation value calculation unitcalculates a predicted evaluation value from a user who has not evaluated either of the contents X and Z using the similarity between the contents X and Z calculated by the indirect similarity calculation unitand the evaluation values of the contents X and Z. Thus, it is possible to calculate the predicted evaluation values of the contents X and Z which are not directly calculable. Therefore, it becomes possible to further expand the range of contents whose evaluation values are predictable through collaborative filtering.

Collaborative filtering using evaluation values of contents from users

Growing community of inventors

Kawasaki, Japan

Sayaka Yoshizu