Nippon Telegraph and Telephone Corporation

Keihiro Ochiai

Hitoshi Seshimo

Hirofumi Abe

Noboru Sonehara

Hideto Suzuki

A link combination extraction unit () acquires all the combination of link candidates from among link candidates having an angle with respect to a movement direction of a pedestrian equal to or smaller than a threshold value among link candidates for n walking route networks. The link combination extraction unit () acquires all the combinations of link candidates that do not intersect with each other among the acquired combinations of link candidates. The link combination extraction unit () acquires all the combinations of link candidates that do not connect to each other among the acquired combinations of link candidates. The link combination extraction unit () acquires all the combinations of link candidates that are not on the same straight line among the acquired combinations of link candidates. A candidate determination unit () acquires a combination of link candidates closest to position information of a pedestrian when there are a plurality of acquired link candidates.

Walking route determination device, walking route determination method, and walking route determination program

Time and effort to generate an electric field map to realize high-accuracy positioning is reduced. In an electric field map generation device () that generates an electric field map in which RSSI obtained when radio waves transmitted from a beacon () are observed at each of a plurality of points in the same space is associated with each of coordinates at the plurality of points, a radio wave strength acquisition unit () acquires RSSI observed at each of at least three observation points different in distance from the beacon (), a space propagation characteristics estimation unit () estimates space propagation characteristics of the radio waves transmitted from the beacon () in the same space using the acquired RSSI at the observation points, a radio wave strength estimation unit () estimates RSSI at estimation points on the basis of the estimated space propagation characteristics and distances between the estimation points different from the observation points and the beacon (), and a generation unit () generates the electric field map () using the RSSI at the observation points and the estimation points.

Electric field map generation device, method, program, and localization device

The present invention provides a weather forecast apparatus and a method for the same, to systematically classify a measured radar image based on results of pattern classification of past radar images so as to use the classified radar image. In the present invention, rapid forecasting is possible by making the FNN model previously learn based on data of each class (and indexes for forecast times) obtained by classification of past weather data for every resembling pattern. In addition, a calculation procedure for improving the classifying ability of patterns can be established by varying the procedure for calculating feature quantities with regard to the radar image by using the learning of the TNN model. Furthermore, systematic classification of a pre-learned image can be realized by performing self organization with regard to compound feature quantities extracted from a radar image in the PNN model, a typical example of which is a competitive learning model.

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Tokyo, Japan

Keihiro Ochiai