Abstract: A bias estimation device includes a determination unit configured to determine whether a forklift is stationary based on a measurement value from a first sensor configured to detect information regarding movement of the forklift and a measurement value from a second sensor configured to detect information regarding a cargo handling device included in the forklift, an accumulation unit configured to accumulate an IMU measurement value that is a measurement value from an inertial measurement unit included in the forklift when the determination unit determines that the forklift is stationary and stop accumulation of the IMU measurement value when the determination unit determines that the forklift is not stationary, and a calculation unit configured to calculate a bias of the IMU measurement value based on the IMU measurement value accumulated in the accumulation unit.

Abstract: A device is for estimating a position of a vehicle equipped with a laser scanner capable of acquiring point cloud data by scanning a laser beam and a camera capable of acquiring an image in a predetermined direction. The device includes an acquisition unit configured to acquire the point cloud data and the image, an estimation unit configured to estimate the position based on the point cloud data or the image, and an extraction unit configured to extract, from the point cloud data, valid point cloud data that is usable for estimating the position. The estimation unit is configured to estimate the position using: (i) the valid point cloud data if a number of pieces of valid point cloud data is equal to or greater than a predetermined number; and (ii) the image if the number of pieces of valid point cloud data is less than the predetermined number.

Abstract: A method of controlling a movable body includes: a step of causing a sensor provided on the movable body to detect an obstacle; a step of determining the position and attitude of a front surface, of the obstacle, opposite to the travel direction of the movable body based on the detection result of the obstacle; a step of generating an avoidance path that avoids the obstacle while heading toward a side of a first direction intersecting the travel direction based on the position and attitude of the front surface; a step of causing the movable body to move along the avoidance path; a step of detecting the obstacle while the movable body is moving along the avoidance path; a step of determining the position and attitude of the side surface of the obstacle on the side of the first direction based on the detection result obtained during movement along the avoidance path; and a step of updating the avoidance path so as to return to a side of a second direction opposite to the first direction while avoiding the obsta

Abstract: A control method for a mobile object that automatically moves includes: causing a sensor disposed on the mobile object to detect a target object multiple times to acquire detection results of respective detection processes performed by the sensor as a point group; estimating a position and an attitude of the target object for each detection process based on the point group; calculating reliability of accuracy in an estimation result of the position and the attitude of the target object for each detection process; selecting, from among estimation results of the respective detection processes, an estimation result used for setting an approach path to a target position at which a predetermined position and attitude with respect to the target object are achieved based on the reliability for each detection process; setting the approach path based on the selected estimation result; and causing the mobile object to move along the approach path.

Abstract: A pallet detection device comprises: a point cloud acquisition unit configured to acquire point cloud data indicating a point cloud measured by a two-dimensional distance measurement device on a depth map; a straight line detection unit configured to detect a straight line corresponding to a front surface of a pallet based on the point cloud in a region presumed to include the front surface of the pallet in the point cloud data; a line segment detection unit configured to detect a line segment indicating the front surface of the pallet based on the straight line; and a position/orientation acquisition unit configured to acquire position and orientation of the pallet based on the line segment.

Abstract: The self-localization device includes: an acquisition unit configured to acquire a sight image from a camera which is mounted in a mobile object; an estimation unit configured to perform a self-localization process of estimating a position and a posture of the mobile object in a world coordinate system on the basis of positions of feature points in the sight image and a map on which positions of a plurality of feature points in the world coordinate system are recorded; and a registration unit configured to register the sight image as a key frame for adding a new feature point included in the sight image to the map. The registration unit is configured to register the sight image as the key frame when movement of the mobile object satisfies a condition which is prescribed for at least one of the position and the posture of the mobile object.

Abstract: There is provided a position estimation device for estimating a position of an industrial vehicle equipped with a laser scanner capable of acquiring point cloud data by scanning a laser beam and a camera capable of acquiring an image in a predetermined direction The position estimation device includes an acquisition unit configured to acquire the point cloud data and the image, an estimation unit configured to estimate the position of the industrial vehicle based on at least one of the point cloud data and the image, and an extraction unit configured to extract, from the point cloud data, valid point cloud data that is usable for estimating the position.

Abstract: The self-localization device includes: an acquisition unit configured to acquire a sight image from a camera which is mounted in a mobile object; an estimation unit configured to perform a self-localization process of estimating a position and a posture of the mobile object in a world coordinate system on the basis of positions of feature points in the sight image and a map on which positions of a plurality of feature points in the world coordinate system are recorded; and a registration unit configured to register the sight image as a key frame for adding a new feature point included in the sight image to the map. The registration unit is configured to register the sight image as the key frame when movement of the mobile object satisfies a condition which is prescribed for at least one of the position and the posture of the mobile object.