A processing device is configured to perform a process of bringing a response speed of a first sensor close to a response speed of a second sensor when a value using a detection value of the first sensor is extracted at a timing determined by using an output value of the second sensor having a response speed different from that of the first sensor.

A method of designing a drill bit is disclosed. The method includes determining a location of a bit coordinate system in a wellbore coordinate system and generating a bit profile based on an angular coordinate around a wellbore axis of a wellbore and the location of the bit coordinate system. The bit profile is based on a cutting edge of a first cutting element on an exterior portion of a first blade. The method also includes determining a cutting layer volume based on the bit profile and identifying a weak zone based on the cutting layer volume being less than a predefined minimum cutting layer volume. The method includes determining a location for a second cutting element on the exterior portion of a second blade based on the weak zone.

A method of designing a drill bit is disclosed. The method includes determining a location of a bit coordinate system in a wellbore coordinate system and generating a bit profile based on an angular coordinate around a wellbore axis of a wellbore and the location of the bit coordinate system. The bit profile is based on a cutting edge of a first cutting element on an exterior portion of a first blade. The method also includes determining a cutting layer volume based on the bit profile and identifying a weak zone based on the cutting layer volume being less than a predefined minimum cutting layer volume. The method includes determining a location for a second cutting element on the exterior portion of a second blade based on the weak zone.

Provided is a computer system for estimating an absolute position of a photographed object by just photographing the object with a camera, a position estimation method, and a program. The computer system acquires an image obtained by photographing an object, acquires three-dimensional position data of a camera which photographed the object, and estimates an absolute position of the object on the basis of the three-dimensional position data of the camera. Further, the computer system enables the camera to be tilted a specified angle in a direction of the object, and estimates the absolute position of the object on the basis of the three-dimensional position data of the camera and the tilted specified angle. Moreover, the computer system stores the position of the object and an altitude at the position in association with each other, and estimates an altitude associated with the estimated position of the object.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

Devices, systems, and methods are provided for enhanced sensor alignment. A device may determine a first array of displacement sensors proximate to a first test structure. The device may determine a second array of displacement sensors proximate to a second test structure. The device may apply a test condition to the first array, the second array, the first test structure, and the second test structure. The device may collect a first output from applying the test condition to the first test structure. The device may collect a second output from applying the test condition to the second test structure. The device may generate a first deviation vector associated with the first output. The device may generate a second deviation vector associated with the second output. The device may determine a first design status of the first structure based on the first deviation vector. The device may determine a second design status of the second structure based on the second deviation vector.

Devices, systems, and methods are provided for enhanced sensor alignment. A device may determine a first array of displacement sensors proximate to a first test structure. The device may determine a second array of displacement sensors proximate to a second test structure. The device may apply a test condition to the first array, the second array, the first test structure, and the second test structure. The device may collect a first output from applying the test condition to the first test structure. The device may collect a second output from applying the test condition to the second test structure. The device may generate a first deviation vector associated with the first output. The device may generate a second deviation vector associated with the second output. The device may determine a first design status of the first structure based on the first deviation vector. The device may determine a second design status of the second structure based on the second deviation vector.

A technology for obtaining a coordinate system conversion parameter more easily than in the related art is provided. A coordinate system conversion parameter estimation device includes: a camera coordinate system correspondence point estimation unit 2 configured to estimate 3-dimensional positions of a joint of a moving body in a camera coordinate system from a camera video in which an aspect indicating that the moving body is moving a marker of which 3-dimensional positions in a sensor coordinate system are able to be acquired by a sensor is shown and to set the 3-dimensional positions as 3-dimensional positions of a correspondence point in the camera coordinate system; a sensor coordinate system correspondence point estimation unit 4 configured to estimate a predetermined point of a figure drawn by all or a part of a 3-dimensional position series of the marker from the 3-dimensional position series of the marker corresponding to the camera video and to set the predetermined point as a 3-dimensional position of the correspondence point in the sensor coordinate system; and a coordinate system conversion parameter estimation unit 5 configured to estimate a coordinate system conversion parameter between the camera coordinate system and the sensor coordinate system from the 3-dimensional positions of the correspondence point in the camera coordinate system and the 3-dimensional positions of the correspondence point in the sensor coordinate system.

Embodiments relate to a system and method for calibrating a ratio of body size of a subject including setting a body coordinate system of each body segment of the subject, calculating a first rotation matrix from a world coordinate system set based on the ground to a sensor coordinate system of each motion sensor when the subject takes a first basic pose, calculating a second rotation matrix from the world coordinate system to the sensor coordinate system of each motion sensor when the subject takes a second basic pose, calculating a third rotation matrix from the world coordinate system to the body coordinate system of a trunk for a first motion sensor attached to the trunk of the subject, and calculating a ratio of body size of the subject based on the third rotation matrix.

Embodiments relate to a system and method for calibrating a ratio of body size of a subject including setting a body coordinate system of each body segment of the subject, calculating a first rotation matrix from a world coordinate system set based on the ground to a sensor coordinate system of each motion sensor when the subject takes a first basic pose, calculating a second rotation matrix from the world coordinate system to the sensor coordinate system of each motion sensor when the subject takes a second basic pose, calculating a third rotation matrix from the world coordinate system to the body coordinate system of a trunk for a first motion sensor attached to the trunk of the subject, and calculating a ratio of body size of the subject based on the third rotation matrix.