Mitsubishi Electric Corporation

Ryusuke Kinoshita

Takashi Irie

Masahiko Ikawa

Masatoshi Fujii

Tadatomi Ishigami

Kohei Fujimoto

Masashi Kido

Yuko Ota

Yuko Ohta

Shigeki Morita

Hiroki Konaka

Norihiro Nishiuma

Yasuhiro Nishikawa

In a locator, a data synchronization unit calculates an interpolated value for autonomous sensor data which corresponds to a time of latest GNSS data. A complex positioning unit performs complex positioning using the latest GNSS data and the interpolated value for the autonomous sensor data. An autonomous navigation positioning unit performs first autonomous navigation positioning using the interpolated value for the autonomous sensor data, and performs second autonomous navigation positioning using latest autonomous sensor data. A modified amount calculator calculates a modified amount of autonomous navigation positioning, based on a difference between a result of the complex positioning and a result of the first autonomous navigation positioning. An autonomous navigation positioning fix modification unit modifies a result of the second autonomous navigation positioning using the modified amount to calculate a current position.

Locator, accuracy evaluation system therefor, and positioning method

In a locator device, a dead reckoning part calculates a position of a subject vehicle by dead reckoning. A pseudorange smoothing part smooths a pseudorange between a GNSS satellite and a position of the subject vehicle using a carrier wave phase of the GNSS satellite. A GNSS receiver positioning error evaluation part evaluates reliability of the position of the subject vehicle calculated by the multi-GNSS receiver. A GNSS positioning part (Kalman Filter (KF) method) calculates a position of the subject vehicle from a smoothed value of the pseudorange, a positioning augmentation signal, and an orbit of the GNSS satellite. A complex positioning part (KF method) calculates an error in the dead reckoning from the position of the subject vehicle calculated by the GNSS positioning part (KF method), and corrects the position of the subject vehicle calculated by the dead reckoning part based on the error in the dead reckoning.

Positioning device and positioning method

A code positioning part calculates a position of a subject vehicle and a receiver clock based on an orbit of a GNSS satellite in which an error indicated by a positioning reinforcing signal is corrected and a first corrected pseudorange being a pseudorange of the GNSS satellite in which an error indicated by the positioning reinforcing signal is corrected. A receiver clock bias error correction part determines a difference between a two-point range between a position of each of a plurality of GNSS satellites and the position of the subject vehicle and the first corrected pseudorange as an unknown error, and determines a receiver clock bias error of the pseudorange based on the unknown error. A code positioning correction part recalculates the position of the subject vehicle, using a second corrected pseudorange that is obtained by correcting the first corrected pseudorange using the receiver clock bias error.

It is an object of the present invention to provide a destination estimating system and a destination estimating method capable of estimating a destination with a high degree of accuracy even when a user uses a detour or stops off somewhere. The destination estimating system of the present invention includes: obtaining a traveling area and a traveling link of a moving body; obtaining, as a traveling history, an area history for storing, for each area, information of a past destination to which the moving body has traveled via the area previously and a link history for storing, for each link, information of a past destination to which the moving body has traveled via the link previously; estimating, based on the traveling area and the area history, a value regarding a probability of traveling to the past destination as an area estimation value; estimating, based on the traveling link and the link history, a value regarding a probability of traveling to the past destination as a link estimation value; and estimating the destination from the past destination based on the area estimation value and the link estimation value.

Destination estimating system and destination estimating method

An object of the present invention is to provide a recommended-drive-pattern generation device that generates a recommended drive pattern with low energy consumption in consideration of actual drive of the user. A recommended-drive-pattern generation device of the present invention includes: a reference drive pattern generating unit that generates as a reference drive pattern a drive pattern in a past drive route from a drive history of a moving body; a speed limit point setting unit that sets a speed limit point within the drive route based on at least one of the reference drive pattern and road information of the drive route; and a recommended-drive-pattern generating unit that generates a recommended drive pattern for the drive route in which the speed limit point is passed at a speed not higher than a speed limit defined by the speed limit point.

Recommended-drive-pattern generation device and recommended-drive-pattern generation method

An object of the present invention is to provide a drive-pattern evaluation device for appropriately evaluating energy-saving performance of a drive pattern. A drive-pattern evaluation device of the present invention is a drive-pattern evaluation device which evaluates a past actual drive pattern of a moving body based on energy consumption, the device including: an energy-saving drive pattern generating unit that generates an energy-saving drive pattern in consideration of energy consumption with respect to an evaluation section of the actual drive pattern; an energy consumption estimating unit that estimates energy consumption by the energy-saving drive pattern as an estimated energy-saving consumption; and an eco-score calculator that compares energy consumption by the actual drive pattern in the evaluation section and the estimated energy-saving consumption, to evaluate the actual drive pattern based on the comparison result.

Drive-pattern evaluation device and drive-pattern evaluation method

A stopping vehicle estimating unit estimates one of a number of stopping vehicles and a length of a stopping vehicle line of different vehicles that are stopping at a traffic light along an estimated driving route ahead of the own vehicle closer to the traffic light than the own vehicle, based on a position information of a site at which a traffic light is provided, an own vehicle position, an own vehicle speed, and traffic information. A passable time zone estimating unit estimates a passable time zone during which the own vehicle is able to pass by the traffic light, based on the one of the number of stopping vehicles and the length of the stopping vehicle line that have been estimated by the stopping vehicle estimating unit, and on schedule information.

Drive assistance device

A route search device capable of searching for a route with the lowest energy cost at a high speed even if the distance between start and end points is long. The route search device includes: a long distance search attribute calculation section for calculating, as an attribute of one long distance search link, the sum of upslope elevation differences of a plurality of short distance search links and the sum of downslope elevation differences of the short distance search links corresponding to the one long distance search link; and a link cost calculation section for calculating, based on the attribute of the long distance search link and vehicle characteristics, a link cost that is an energy consumption at a time when a vehicle travels in the long distance search link.

Growing community of inventors

Tokyo, Japan

Ryusuke Kinoshita