231 results about "Time of flight sensor" patented technology

A system for controlling more than one remote vehicle. The system comprises an operator control unit allowing an operator to receive information from the remote vehicles and send commands to the remote vehicles via a touch-screen interface, the remote vehicles being capable of performing autonomous behaviors using information received from at least one sensor on each remote vehicle. The operator control unit sends commands to the remote vehicles to perform autonomous behaviors in a cooperative effort, such that high-level mission commands entered by the operator cause the remote vehicles to perform more than one autonomous behavior sequentially or concurrently. The system may perform a method for generating obstacle detection information from image data received from one of a time-of-flight sensor and a stereo vision camera sensor.

A method to compensate for multi-path in time-of-flight (TOF) three dimensional (3D) cameras applies different modulation frequencies in order to calculate/estimate the error vector. Multi-path in 3D TOF cameras might be caused by one of the two following sources: stray light artifacts in the TOF camera systems and multiple reflections in the scene. The proposed method compensates for the errors caused by both sources by implementing multiple modulation frequencies.

A Holocam Orb system uses multiple Holocam Orbs (Orbs) within a real-life environment to generate an artificial reality representation of the real-life environment in real time. Each Orb is an electronic and software unit that includes a local logic module, a local CPU and multiple synchronous and asynchronous sensors, include stereo cameras, time-of-flight sensors, inertial measurement units and a microphone array. Each Orb synchronizes itself to a common master clock, and packages its asynchrony data into data bundles whose timings are matched to frame timing of synchronous sensors, and all gathered data bundles and data frames are given a time stamp using a reference clock common to all Orbs. The overlapping sensor data from all the Orbs is combined to create the artificial reality representation.

A method and system corrects motion blur in time-of-flight (TOF) image data in which acquired consecutive images may evidence relative motion between the TOF system and the imaged object or scene. Motion is deemed global if associated with movement of the TOF sensor system, and motion is deemed local if associated with movement in the target or scene being imaged. Acquired images are subjected to global and then to local normalization, after which coarse motion detection is applied. Correction is made to any detected global motion, and then to any detected local motion. Corrective compensation results in distance measurements that are substantially free of error due to motion-blur.

To generate a pixel-accurate depth map, data from a range-estimation sensor (e.g., a time-of flight sensor) is combined with data from multiple cameras to produce a high-quality depth measurement for pixels in an image. To do so, a depth measurement system may use a plurality of cameras mounted on a support structure to perform a depth hypothesis technique to generate a first depth-support value. Furthermore, the apparatus may include a range-estimation sensor which generates a second depth-support value. In addition, the system may project a 3D point onto the auxiliary cameras and compare the color of the associated pixel in the auxiliary camera with the color of the pixel in reference camera to generate a third depth-support value. The system may combine these support values for each pixel in an image to determine respective depth values. Using these values, the system may generate a depth map for the image.

A system and method for extracting 3D coordinates, the method includes obtaining, by a stereoscopic image photographing unit, two images of a target object, and obtaining 3D coordinates of the object on the basis of coordinates of each pixel of the two images, measuring, by a Time of Flight (TOF) sensor unit, a value of a distance to the object, and obtaining 3D coordinates of the object on the basis of the measured distance value, mapping pixel coordinates of each image to the 3D coordinates obtained through the TOF sensor unit, and calibrating the mapped result, determining whether each set of pixel coordinates and the distance value to the object measured through the TOF sensor unit are present, calculating a disparity value on the basis of the distance value or the pixel coordinates, and calculating 3D coordinates of the object on the basis of the calculated disparity value.

An apparatus includes a photodiode, a first and second storage transistor, a first and second transfer transistor, and a first and second output transistor. The first transfer transistor selectively transfers a first portion of the image charge from the photodiode to the first storage transistor for storing over multiple accumulation periods. The first output transistor selectively transfers a first sum of the first portion of the image charge to a readout node. The second transfer transistor selectively transfers a second portion of the image charge from the photodiode to the second storage transistor for storing over the multiple accumulation periods. The second output transistor selectively transfers a second sum of the second portion of the image charge to the readout node.

An automated dispensing fixture includes a controller controllably coupled to at least one valve. The valve is operable to control fluid flow through a dispensing fixture. The automated dispensing fixture also includes at least one time of flight sensor communicatively coupled to the controller, such that the controller is operable to detect a position of an object relative to the dispensing fixture.

The present disclosure is directed to a system and method of authenticating a user's face with a ranging sensor. The ranging sensor includes a time of flight sensor and a reflectance sensor. The ranging sensor transmits a signal that is reflected off of a user and received back at the ranging sensor. The received signal can be used to determine distance between the user and the sensor, and the reflectance value of the user. With the distance or the reflectivity, a processor can activate a facial recognition process in response to the distance and the reflectivity. A device incorporating the ranging sensor according to the present disclosure may reduce the overall power consumed during the facial authentication process.

The invention is for a sensor for use in spacecraft navigation and communication. The system has two articulated telescopes providing navigation information and orientation information as well providing communications capability. Each telescope contains a laser and compatible sensor for optical communications and ranging, and an imaging chip for imaging the star field and planets. The three optical functions share a common optical path. A frequency selective prism or mirror directs incoming laser light to the communications and ranging sensor. The Doppler shift or time-of-flight of laser light reflected from the target can be measured. The sensor can use the range and range rate measured from the incoming laser along with measurements from the imaging chip to determine the location and velocity of the spacecraft. The laser and laser receiver provide communications capability.

A method removing adjecent frequency interference from a Time Of Flight sensor system by adaptively adjusting the infrared illumination frequency of the TOF sensor by measuring the interfering infrared illuminating frequencies and dynamicaly adjusting the illuminating infrared frequency of the TOF sensor to eliminate the interference.

A method and apparatus for fixing a depth map wrap-around error and a depth map coverage by a confidence map. The method includes dynamically determining a threshold for the confidence map threshold based on an ambient light environment, wherein the threshold is reconfigurable depending on LED light strength distribution in TOF sensor, extracting, via the digital processor, four phases of Time Of Flight raw data from the Time Of Flight sensor data, computing a phase differential signal array for fixed point utilizing the four phases of the Time Of Flight raw data, computing the depth map, confidence map and the average light signal strength utilizing the phase differential signal array, obtaining the dynamic confidence map threshold for wrap around error correction utilizing the average light signal strength, and correcting the depth map wrap-around error utilizing the depth map, the confidence map and the dynamic confidence map threshold.

A method of identifying a living being includes using a time-of-flight sensor to determine a location of a face of the living being. An image of an iris of the living being is produced dependent upon the location of the face as determined by the time-of-flight sensor. The produced image is processed to determine an identity of the living being.

A time of flight (ToF) sensor comprises a light source configured to irradiate light on a subject, a sensing unit comprising a sensing pixel array configured to sense light reflected from the subject and to generate a distance data signal, and a control unit comprising a view angle control circuit. The view angle control circuit is configured to detect movement of the subject based on the distance data signal received from the sensing unit and to control a view angle of the sensing unit to increase a number of sensing pixels in the sensing pixel array that are used to sense a region in which the detected movement occurs.

An information handling system transitions security settings and/or visual image presentations based upon a user absence or user presence state detected by an infrared time of flight sensor. An operating system service monitors the state detected by the infrared time of flight sensor and other context at the information handling system to selectively apply the user absence or user presence state at the information handling system.