Methods and systems for enhancing the functionality of a semi-autonomous vehicle are described herein. The semi-autonomous vehicle may receive a communication from a fully autonomous vehicle within a threshold distance of the semi-autonomous vehicle. If the vehicles are travelling on the same route or the same portion of a route, the semi-autonomous vehicle may navigate to a location behind the fully autonomous vehicle. Then the semi-autonomous vehicle may operate autonomously by replicating one or more functions performed by the fully autonomous vehicle. The functions and/or maneuvers performed by the fully autonomous vehicle may be detected via sensors in the semi-autonomous vehicle and/or may be identified by communicating with the fully autonomous vehicle to receive indications of upcoming maneuvers. In this manner, the semi-autonomous vehicle may act as a fully autonomous vehicle.

A system for machining a workpiece, comprising a hand-held power tool having a drive motor, a tool holder, which can be driven by the drive motor, for a working tool for machining the workpiece, and a guide element with a guide surface for guiding the hand-held power tool on the workpiece, having a marker detection device for detecting coordinate data of at least one workpiece marker of the workpiece, wherein the hand-held power tool has guide means for guiding the working tool along the workpiece according to the coordinate data of the at least one workpiece marker. The marker detection device has an optical and/or mechanical reference which can be positioned on and/or directly next to the at least one workpiece marker. The marker detection device is designed for determining the coordinate data of the at least one workpiece marker relative to an at least two-dimensional coordinates system which is independent from the workpiece marker
and the guide means of the hand-held power tool are designed to guide the working tool relative to the at least two-dimensional coordinates system in a working area which is geometrically defined by working area data determined based on the coordinate data of the at least one workpiece marker.

A system for machining a workpiece, comprising a hand-held power tool having a drive motor, a tool holder, which can be driven by the drive motor, for a working tool for machining the workpiece, and a guide element with a guide surface for guiding the hand-held power tool on the workpiece, having a marker detection device for detecting coordinate data of at least one workpiece marker of the workpiece, wherein the hand-held power tool has guide means for guiding the working tool along the workpiece according to the coordinate data of the at least one workpiece marker. The marker detection device has an optical and/or mechanical reference which can be positioned on and/or directly next to the at least one workpiece marker. The marker detection device is designed for determining the coordinate data of the at least one workpiece marker relative to an at least two-dimensional coordinates system which is independent from the workpiece marker
and the guide means of the hand-held power tool are designed to guide the working tool relative to the at least two-dimensional coordinates system in a working area which is geometrically defined by working area data determined based on the coordinate data of the at least one workpiece marker.

Provided are a processing device, a system, a method, and a non-transitory computer readable medium capable of reducing false detection when detecting a foreign body. An acquisition means (111) that acquires first distance data (d1) between a predetermined point (pp) on a surface of an object (51) and a first measurement position (p1) outside the object (51) and acquires second distance data (d2) between the predetermined point (pp) and a second measurement position (p2) outside the object (51), a difference calculation means (112) that calculates difference data (dd) between the first distance data (d1) and the second distance data (d2), and a difference deletion means (113) that deletes a part of the first distance data (d1) or the second distance data (d2) on the basis of the difference data (dd) are included. The acquisition means (111) acquires the second distance data (d2) by assuming, as the predetermined point (pp), an intersection point (x1) between a line (L1) connecting the predetermined point (pp) and the second measurement position (p2) and the surface of the object (51).

The present invention is designed to make it possible to draw proper associations, when integrating pieces of information estimated in individual sensors, by associating between objects sensed by a plurality of sensors. A sensor information integration system 101 includes a radio frame analyzing section 33 configured to analyze a radio frame transmitted from a first object, to extract the first attribute information, an image analyzing section 40 configured to analyze an image, in which a second object is sensed, to extract second attribute information, and an association judging section 21 configured to judge an association between the first object and the second object, using the first attribute information and the second attribute information.

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.

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.

To automatically streamline a vehicle claims process after a vehicle is damaged in a crash, sensor data from a plurality of sensors may be received and analyzed to determine crash information and to detect a crash involving the vehicle. The crash information may be transmitted to a server device, which may determine a treatment complexity level based on the crash information. A client device may receive crash repair information from the server device, the crash repair information including the treatment complexity level, and display the crash repair information.