Patent classifications
G01S17/42
METHODS AND APPARATUS FOR PROVIDING A FAULT-TOLERANT LIDAR SENSOR
According to one aspect, a lidar system is a lidar system which includes one set of mechanical, e.g., optical, components, and two or more sets of electrical and/or software components. The beams which are provided by the optical components are effectively alternated between a first and second sets of electrical and/or software components. The redundancy provided by the first and second sets of electrical and/or software components allows the lidar system to remain operational in the event that one set of electrical and/or software components becomes non-operational.
Single-camera particle tracking system and method
A method for tracking moving particles in a fluid. The method includes illuminating the moving particles with an illumination sequence of patterns generated by a light projector; measuring with a single camera light intensities reflected by the moving particles; calculating, based on the measured light intensity, digital coordinates (x′, y′, z′) of the moving particles; determining a mapping function f that maps the digital coordinates (x′, y′, z′) of the moving particles to physical coordinates (x, y, z) of the moving particles; and calculating the physical coordinates (x, y, z) of the moving particles based on the mapping function f. The illumination sequence of patterns is generated with a single wavelength, and light emitted by the projector is perpendicular to light received by the single camera.
Single-camera particle tracking system and method
A method for tracking moving particles in a fluid. The method includes illuminating the moving particles with an illumination sequence of patterns generated by a light projector; measuring with a single camera light intensities reflected by the moving particles; calculating, based on the measured light intensity, digital coordinates (x′, y′, z′) of the moving particles; determining a mapping function f that maps the digital coordinates (x′, y′, z′) of the moving particles to physical coordinates (x, y, z) of the moving particles; and calculating the physical coordinates (x, y, z) of the moving particles based on the mapping function f. The illumination sequence of patterns is generated with a single wavelength, and light emitted by the projector is perpendicular to light received by the single camera.
Random hardware fault and degradation protection apparatus for time-of-flight receiver
A time-of-flight light detection system includes: a plurality of circuits arranged sequentially along a signal path that comprises a plurality of signal channels, the plurality of circuits including a first circuit and a second circuit arranged downstream from the first circuit; a reference signal source configured to generate a plurality of reference signals, where each of the plurality of signal channels at the first circuit receives at least one of the plurality of reference signals; and an evaluation circuit coupled to the plurality of signal channels to receive a processed reference signal from the signal path, the evaluation circuit further configured to compare the processed reference signal to a first expected result to generate a first comparison result.
Vehicle sensor assembly
A sensor assembly includes a first sensor including a first cylindrical sensor window defining an axis; an annular member substantially centered around the axis, fixed relative to the first sensor, and supporting the first sensor; a second sensor fixed relative to the annular member and suspended from the annular member, the second sensor including a second cylindrical sensor window defining the axis; a first tubular ring fixed relative to the annular member and substantially centered around the axis, the first tubular ring including a plurality of first nozzles aimed at the first cylindrical sensor window; a second tubular ring fixed relative to the annular member and substantially centered around the axis, the second tubular ring including a plurality of second nozzles aimed at the second cylindrical sensor window; and two legs extending downward from the annular member and supporting the annular member.
LIDAR system with speckle mitigation
LIDAR systems, and methods of measuring a scene are disclosed. A laser source emits one or more optical beams. A scanning optical system scans the optical beams over a scene and captures reflections from the scene. A measurement subsystem independently measures the reflections from N subpixels within each scene pixel, where N is an integer greater than 1, and combines the measurements of the reflections from the N subpixels to determine range and/or range rate for the pixel.
LIDAR system with speckle mitigation
LIDAR systems, and methods of measuring a scene are disclosed. A laser source emits one or more optical beams. A scanning optical system scans the optical beams over a scene and captures reflections from the scene. A measurement subsystem independently measures the reflections from N subpixels within each scene pixel, where N is an integer greater than 1, and combines the measurements of the reflections from the N subpixels to determine range and/or range rate for the pixel.
Method of localization using multi sensor and robot implementing same
Disclosed herein are a method of localization using multi sensors and a robot implementing the same, the method including sensing a distance between an object placed outside of a robot and the robot and generating a first LiDAR frame by a LiDAR sensor of the robot while a moving unit moves the robot, capturing an image of an object placed outside of the robot and generating a first visual frame by a camera sensor of the robot, and comparing a LiDAR frame stored in a map storage of the robot with the first LiDAR frame, comparing a visual frame registered in a frame node of a pose graph with the first visual frame, determining accuracy of comparison's results of the first LiDAR frame, and calculating a current position of the robot by a controller.
PRIMARY-SECONDARY TYPE INFRASTRUCTURE DISEASE DETECTION AND REPAIR SYSTEM AND METHOD
A surface disease repair system and method for an infrastructure based on climbing robots are provided. The system includes a detection and marking climbing robot and a repair climbing robot. In the process of moving on a surface of an infrastructure to be detected, the detection and marking climbing robot collects a front surface image in real time through a binocular camera arranged at a front end, detects a disease on the basis of the front surface image, and performs localization and map reconstruction at the same time; when a disease is detected, the position of the disease is recorded, and a marking device is controlled to mark the disease; after detection and marking are completed, the position of the disease and the map are sent to the repair climbing robot; and the repair climbing robot receives the map and the position of the disease, reaches the position of the disease, and repairs the disease according to the mark by using a repair device.
OBJECT RECOGNITION DEVICE AND OBJECT RECOGNITION METHOD
Provided is an object recognition device including a prediction processing unit, a temporary setting unit, and a association processing unit. The prediction processing unit predicts, as a prediction position on an object model obtained by modeling a tracking target, a position of a movement destination of the tracking target based on a trajectory formed by movement of at least one object of a plurality of objects as the tracking target. The temporary setting unit sets, based on specifications of a sensor that has detected the tracking target, a position of at least one candidate point on the object model. The association processing unit sets, based on the position of the candidate point and the prediction position, a reference position on the object model. The association processing unit determines whether the position of the detection point and the prediction position associate with each other based on a positional relationship between a association range which is set so that the association range has a reference position on the object model as a reference and a detection point at a time when the sensor has detected the at least one object of the plurality of objects.