The invention can be used for determining absolute movements of objects. The problem to be solved consists in increasing the accuracy of the measurement of movements of an object when obstacles are present in the trajectory of motion thereof by eliminating error accumulation in the positioning of signal sources. A transducer is mounted on an object, separate sources of uniquely coded signals are used and/or groups of sources of a uniquely coded signal are formed, the separate sources of uniquely coded signals and/or formed groups of sources of a uniquely coded signal are placed randomly along the trajectory of movement of the object at any distance between any two consecutively mounted separate sources of a uniquely coded signal and/or between any two formed groups of sources of a uniquely coded signal, said distance not exceeding the measurement range of the transducer, a signal is directed at the moving object having the transducer, an output signal from the transducer regarding the position of the separate sources of uniquely coded signals and/or groups of sources of a uniquely coded signal is received, and the position of the object is determined.

The invention can be used for determining absolute movements of objects. The problem to be solved consists in increasing the accuracy of the measurement of movements of an object when obstacles are present in the trajectory of motion thereof by eliminating error accumulation in the positioning of signal sources. A transducer is mounted on an object, separate sources of uniquely coded signals are used and/or groups of sources of a uniquely coded signal are formed, the separate sources of uniquely coded signals and/or formed groups of sources of a uniquely coded signal are placed randomly along the trajectory of movement of the object at any distance between any two consecutively mounted separate sources of a uniquely coded signal and/or between any two formed groups of sources of a uniquely coded signal, said distance not exceeding the measurement range of the transducer, a signal is directed at the moving object having the transducer, an output signal from the transducer regarding the position of the separate sources of uniquely coded signals and/or groups of sources of a uniquely coded signal is received, and the position of the object is determined.

The disclosure relates to a dimension measurement apparatus that reduces time required for dimension measurement and eliminates errors caused by an operator. Therefore, the dimension measurement apparatus uses a first image recognition model that extracts a boundary line between a processed structure and a background over the entire cross-sectional image and/or a boundary line of an interface between different kinds of materials, and a second image recognition that output information for dividing the boundary line extending over the entire cross-sectional image obtained from the first image recognition model for each unit pattern constituting a repetitive pattern, obtains coordinates of a plurality of feature points defined in advance for each unit pattern, and measures a dimension defined as a distance between two predetermined points of the plurality of feature points.

There is provided a program, an information processor, and an information processing method that make it possible to obtain position information for sites of a body with higher accuracy. The program causes a computer to implement a correction function of referencing a first output obtained by performing a first process on sensor data acquired by two or more motion sensors attached to two or more sites of a body and a second output obtained by performing a second process on the sensor data, and correcting position information for attachment sites to which the motion sensors are attached.

There is provided a program, an information processor, and an information processing method that make it possible to obtain position information for sites of a body with higher accuracy. The program causes a computer to implement a correction function of referencing a first output obtained by performing a first process on sensor data acquired by two or more motion sensors attached to two or more sites of a body and a second output obtained by performing a second process on the sensor data, and correcting position information for attachment sites to which the motion sensors are attached.

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.

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.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

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.