A distributed, cross reality system efficiently and accurately compares location information that includes image frames. Each of the frames may be represented as a numeric descriptor that enables identification of frames with similar content. The resolution of the descriptors may vary for different computing devices in the distributed system based on degree of ambiguity in image comparisons and/or computing resources for the device. A descriptor computed for a cloud-based component operating on maps of large areas that can result in ambiguous identification of multiple image frames may use high resolution descriptors. High resolution descriptors reduce computationally intensive disambiguation processing. A portable device, which is more likely to operate on smaller maps and less likely to have the computational resources to compute a high resolution descriptor, may use a lower resolution descriptor.

A positioning system and a calibration method of an objection location are provided. The calibration method includes the following. Roadside location information of a roadside unit (RSU) is obtained. Object location information of one or more objects is obtained. The object location information is based on a satellite positioning system. An image identification result of the object or the RSU is determined according to images of one or more image capturing devices. The object location information of the object is calibrated according to the roadside location information and the image identification result. Accordingly, the accuracy of the location estimation may be improved.

An electronic device may include an infrared light source and an infrared image sensor to enable infrared beacon functionality. In a location sharing scenario, a first electronic device may use the infrared light source to emit infrared light and serve as an infrared beacon. A second electronic device may use the infrared image sensor to detect the infrared beacon and identify the location of the first electronic device. The infrared image sensor that is used to detect the infrared beacon may also serve as a time-of-flight sensor for a light detection and ranging (LiDAR) module. The second electronic device (that detects the infrared beacon) may provide output such as visual, audio, and/or haptic output to inform a user of the location of the infrared beacon.

A detector (110, 1110, 2110) for determining a position of at least one object (112) is proposed. The detector (110, 1110, 2110) comprises: at least one transfer device (128, 1128), wherein the transfer device (128, 1128) has at least one focal length in response to at least one incident light beam (116, 1116) propagating from the object (112, 1112) to the detector (110, 1110, 2110); at least two optical sensors (113, 1118, 1120), wherein each optical sensor (113, 1118, 1120) has at least one light sensitive area (121, 1122, 1124), wherein each optical sensor (113, 1118, 1120) is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by the light beam (116, 1116), at least one evaluation device (132, 1132) being configured for determining at least one longitudinal coordinate z of the object (112, 1112) by evaluating a quotient signal Q from the sensor signals. The detector is adapted to determine the longitudinal coordinate z of the object in at least one measurement range independent from the object size in an object plane.

A detector (110, 1110, 2110) for determining a position of at least one object (112) is proposed. The detector (110, 1110, 2110) comprises: at least one transfer device (128, 1128), wherein the transfer device (128, 1128) has at least one focal length in response to at least one incident light beam (116, 1116) propagating from the object (112, 1112) to the detector (110, 1110, 2110); at least two optical sensors (113, 1118, 1120), wherein each optical sensor (113, 1118, 1120) has at least one light sensitive area (121, 1122, 1124), wherein each optical sensor (113, 1118, 1120) is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by the light beam (116, 1116), at least one evaluation device (132, 1132) being configured for determining at least one longitudinal coordinate z of the object (112, 1112) by evaluating a quotient signal Q from the sensor signals. The detector is adapted to determine the longitudinal coordinate z of the object in at least one measurement range independent from the object size in an object plane.

A machine control device includes an imaging control unit that controls an imaging device to capture two images at two different imaging positions; an imaging position information acquiring unit that acquires positional information of two imaging positions; a measurement distance restoring unit that restores a measurement distance of an object based on two images, distance information between two imaging positions, and a parameter of the imaging device, by using a stereo camera method; a measurement precision calculating unit that calculates a measurement precision of the measurement distance of the object based on two images, the distance information between two imaging positions, and the parameter of the imaging device; an area specifying unit that specifies a partial area of the object as a specified area; and a measurement precision determining unit that determines whether the measurement precision of the object satisfies a predetermined precision in the specified area.

A system and method for detecting in real-time high risk lightning (HRL) strikes and sending out alerts to responsible personnel to allow for earlier responses to lightning caused fire ignitions to help maintain and/or reduce the chance of spread by the wildfire. The system and method allow for HRL events and fire ignitions to be detected preferably within seconds. The system and method can use a network of detectors, data from environmental satellites and/or other environmental data sources, and novel AI/algorithms for signal processing to relatively quickly locate fire ignition spots. Thus, the system and method provide for actionable wildfire intelligence in real-time and to relatively quickly and accurately send out alerts when an HRL event has been determined. Cameras and drones can be used to provide real-time visualization at the location of the HRL event to verify or monitor any fire ignition or smoldering at the area of the HRL event.

A system and method for detecting in real-time high risk lightning (HRL) strikes and sending out alerts to responsible personnel to allow for earlier responses to lightning caused fire ignitions to help maintain and/or reduce the chance of spread by the wildfire. The system and method allow for HRL events and fire ignitions to be detected preferably within seconds. The system and method can use a network of detectors, data from environmental satellites and/or other environmental data sources, and novel AI/algorithms for signal processing to relatively quickly locate fire ignition spots. Thus, the system and method provide for actionable wildfire intelligence in real-time and to relatively quickly and accurately send out alerts when an HRL event has been determined. Cameras and drones can be used to provide real-time visualization at the location of the HRL event to verify or monitor any fire ignition or smoldering at the area of the HRL event.

An indoor positioning method based on image visual features. A Wi-Fi signal strength value of a Wi-Fi tag closest to a current location of a mobile device is matched with a signal strength list in a map database to obtain a first location of a first Wi-Fi tag with the greatest matching degree. A SURF descriptor of an image of the Wi-Fi tag closest to the current location of the mobile device is matched with SURF descriptors recorded in the signal strength list in the map database to discover an image of a Wi-Fi tag with the greatest matching degree, thereby obtaining a second location of a second Wi-Fi tag corresponding to the image of the Wi-Fi tag with the greatest matching degree. A three location of a three Wi-Fi tag is obtained according to a homography matrix corresponding to the image of the Wi-Fi tag with the largest matching degree and an empirical value of a positioning error. Positioning information of the mobile device is obtained according to the first location, the second location and the third location.

A detector for object authentication includes first and second illumination sources. The first illumination source projects an illumination pattern including a plurality of illumination features onto a surface of an object. The second illumination source projects an illuminating light beam onto the object. The detector also includes an image capture device for determining a first image including a plurality of reflection features generated by the surface of the object in response to the illumination pattern and for determining a second image including two dimensional information associated with the surface of the object generated in response to the illuminating light beam. The detector also includes an evaluation device for evaluating the first image and the second image, identifying a geometrical feature of the object, determining a material property of the object, and comparing the two dimensional information to data stored in a database for authentication of the object.