Hitachi Astemo Ltd.

Haruki Nishimura

Akira Kuriyama

Tatsuhiko Monji

Shunsuke Matsuo

Naoto Aoki

Masanori Ichinose

A sensor aiming device includes: a target positional relationship processing unit for outputting positional relationship information of first and second targets; a sensor observation information processing unit configured to convert the observation result of the first and second targets into a predetermined unified coordinate system according to a coordinate conversion parameter, perform time synchronization at a predetermined timing, and extract first target information indicating a position of the first target and second target information indicating a position of the second target; a position estimation unit configured to estimate a position of the second target using the first target information, the second target information, and the positional relationship information; and a sensor correction amount estimation unit configured to calculate a deviation amount of the second sensor using the second target information and an estimated position of the second target and estimate a correction amount.

Sensor aiming device, driving control system, and correction amount estimation method

A method determines the region where a vehicle can travel without changing clarity of the position information of the object detected by a sensor. An in-vehicle control device includes an object detection unit detecting the position of an object from image information captured by an image pickup device, an object information storage unit stores a pre-processing grid map including a position of a detected object set as an object occupied region and a position where no object has been detected is as an object unoccupied region, an information processing unit generates a determination grid map in which part of the object unoccupied region of the map is replaced with the object occupied region, and a road surface region determination unit that generates an automatic driving grid map in which a closed space surrounded by the object occupied region of the determination grid map is set as a road surface region.

System for determining a road surface based on objects on the side of the road

To correct an axis deviation of a sensor. An aiming device, which calculates correction amounts of detection results of two or more sensors using the detection results of the sensors, includes: a sensor coordinate conversion unit that converts sensor data detected by the sensor from a coordinate system unique to the sensor into a predetermined unified coordinate system; a target selection unit that selects predetermined features from the sensor data detected by each of the sensors; a function fitting unit that defines functions each approximating an array state of the selected features for the respective sensors; a fitting result comparison unit that compares the functions each approximating the array state of the features detected by each of the sensors; and a correction value calculation unit that calculates a correction amount for converting coordinates of the features detected by the sensors from a result of the comparison of the functions.

Aiming device, driving control system, and method for calculating correction amount of sensor data

An axial deviation of the sensor is corrected. An aiming device that calculates a correction parameter for correcting a detection result of a target sensor includes an estimated-track generation unit that detects a track of a target for a period when an own vehicle moves, by using information of a movement of the own vehicle, which is detected by a movement sensor, and generates a plurality of estimated tracks having different start-point positions from the detected track of the target by using a first variable group, a corrected-track generation unit that generates a plurality of corrected tracks from the track of the target around the own vehicle, which is detected by the target sensor, by using a second variable group, and a correction parameter calculation unit that selects a combination in which a difference between the estimated track and the corrected track is small, and calculates the correction parameter for correcting a displacement of the target sensor by using a first variable related to the selected estimated track and a second variable related to the selected corrected track.

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Ibaraki, Japan

Haruki Nishimura