This invention disclosures a six degree-of-freedom (DOF) measuring system and method. The measuring system comprises a tracking measurement device and a target. The tracking measurement device includes a processor, a camera and two rotation optical components connected with the processor respectively, which are arranged in sequence. The camera boresight and the optical axis of two rotation optical components are coaxial, and each rotation optical component can rotate independently. The target is mounted on the tested object, which contains at least three markers with known distance constraints. In addition, at least one marker does not coincide with the midpoint of the line connecting any two of the remaining markers. Compared with the prior technologies, this invention realizes a dynamic real-time measurement of six DOF for the tested object. In the process of measurement, only the target is fixed on the object. The target has the advantages of simple structure, less influence on the actual operation of the target and easy use. Meanwhile, the calculation process of 6 DOF measurement is simplified, and the real-time and reliability of the measurement method is improved.

A method of obtaining a head-related transfer function for a user is provided. The method comprises generating an audio signal for output by a handheld device and outputting the generated audio signal at a plurality of locations by moving the handheld device to those locations. The audio output by the handheld device is detected at left-ear and right-ear microphones. A pose of the handheld device relative to the user's head is determined for at least some of the locations. One or more personalised HRTF features are then determined based on the detected audio and corresponding determined poses of the handheld device. The one or more personalised HRTF features are then mapped to a higher-quality HRTF for the user, wherein the higher-quality HRTF corresponds to an HRTF measured in an anechoic environment. This mapping may be learned using machine learning, for example. A corresponding system is also provided.

A detector (110) for determining a position of at least one object (118) is disclosed. The detector (110) comprises: at least one optical sensor (112), the optical sensor (112) being adapted to detect a light beam (150) traveling from the object (118) towards the detector (110), the optical sensor (112) having at least one matrix (152) of pixels (154); and at least one evaluation device (126), the evaluation device (126) being adapted to determine a number N of pixels (154) of the optical sensor (112) which are illuminated by the light beam (150), the evaluation device (126) further being adapted to determine at least one longitudinal coordinate of the object (118) by using the number N of pixels (154) which are illuminated by the light beam (150).

A device implementing a system for estimating device location includes at least one processor configured to receive a first estimated position of the device at a first time. The at least one processor is further configured to capture, using an image sensor of the device, images during a time period defined by the first time and a second time, and determine, based on the images, a second estimated position of the device, the second estimated position being relative to the first estimated position. The at least one processor is further configured to receive a third estimated position of the device at the second time, and estimate a location of the device based on the second estimated position and the third estimated position.

A detector (110) for determining a position of at least one object (118) is disclosed. The detector (110) comprises: at least one optical sensor (112), the optical sensor (112) being adapted to detect a light beam (150) traveling from the object (118) towards the detector (110), the optical sensor (112) having at least one matrix (152) of pixels (154); and at least one evaluation device (126), the evaluation device (126) being adapted for determining an intensity distribution of pixels (154) of the optical sensor (112) which are illuminated by the light beam (150), the evaluation device (126) further being adapted for determining at least one longitudinal coordinate of the object (118) by using the intensity distribution.

An optical imaging system for imaging a target during a medical procedure is disclosed. The optical imaging system includes: a first camera for capturing a first image of the target; a second wide-field camera for capturing a second image of the target; at least one path folding mirror disposed in an optical path between the target and a lens of the second camera; and a processing unit for receiving the first image and the second image, the processor being configured to: apply an image transform to one of the first image and the second wide-field image; and combine the transformed image with the other one of the images to produce a stereoscopic image of the target.

Embodiments of the present disclosure support a head-mounted display (HMD) wirelessly coupled to a console. The HMD includes a positional tracking system, a beam controller and a transceiver. The positional tracking system tracks position of the HMD and generates positional information describing the tracked position of the HMD. The transceiver communicates with a console via a wireless channel, in accordance with communication instructions, the communication instructions causing the transceiver to communicate over one directional beam of a plurality of directional beams. The beam controller determines a change in the positional information. Based on the change to the positional information, the beam controller determines a directional beam of the plurality of directional beams. The beam controller further generates the communication instructions identifying the determined directional beam, and provides the communication instructions to the transceiver.

An optical imaging system for imaging a target during a medical procedure is disclosed. The optical imaging system includes: a first camera for capturing a first image of the target; a second wide-field camera for capturing a second image of the target; at least one path folding mirror disposed in an optical path between the target and a lens of the second camera; and a processing unit for receiving the first image and the second image, the processor being configured to: apply an image transform to one of the first image and the second wide-field image; and combine the transformed image with the other one of the images to produce a stereoscopic image of the target.

An indoor mobile robot position and posture measurement system based on photoelectric scanning and the measurement method thereof, the measurement system includes: a mobile robot (1) which is arranged with a laser transmitter (2), the peripheral of the laser transmitter (2) is provided with no less than three receivers (3) for receiving the light signals emitted by the laser transmitter (2), and at least one signal processor (4) connected to the receivers (3) for processing signals received by the receivers (3) to determine precise coordinates of the receivers in laser transmitter coordinate system, and a terminal computer (5) wirelessly connected with the signal processor (4) to determine the posture angle and the position of the mobile robot through the distances between the laser transmitter (2) and each receiver (3). Without arranging multiple transmitters when measuring and performing tedious global orientation, the operators by using the measurement system and the measurement method of the present invention may measure the 3D position and posture of the indoor mobile robot in real time by multiple guidance signals consisting of photoelectric receiver and a high-speed laser scanning turntable fixed on the mobile robot.

This specification discloses computer-based systems, methods, devices, and other techniques for estimating the pose of a device, including estimating the pose based on images captured by a set of image sensors disposed around the device's periphery. Some implementations include a system that obtains visual data representing at least one image captured by one or more image sensors of a mobile device. The at least one image show an environment of the mobile device, and the one or more image sensors are located at respective corners of the mobile device, or at other locations around its periphery. The system processes the visual data to determine a pose of the mobile device. Further, the system can determine a location of the mobile device in the environment based on the pose, and can present an indication of the location of the mobile device in the environment.