Patent classifications
G01S17/00
Methods and systems for high-resolution long-range flash lidar
A Light Detection And Ranging (LIDAR) apparatus includes a pulsed light source to emit optical signals, a detector array comprising single-photon detectors to output respective detection signals indicating times of arrival of a plurality of photons incident thereon, and processing circuitry to receive the respective detection signals. The processing circuitry includes one or more of a recharge circuit configured to activate and deactivate subsets of the single photon detectors for respective strobe windows between pulses of the optical signals and at differing delays, a correlator circuit configured to output respective correlation signals representing detection of one or more of the photons having times of arrival within a predetermined correlation time relative to one another, and a time processing circuit comprising a counter circuit configured to increment a count value and a time integrator circuit configured to generate an integrated time value based on the respective correlation signals or detection signals.
LIDAR system with reduced speckle sensitivity
Multiple LIDAR output signals are generated and are concurrently directed to the same sample region in a field of view. The LIDAR output signals have one or more optical diversities selected from a group consisting of wavelength diversity, polarization diversity, and diversity of an angle of incidence of the LIDAR output signal relative to the sample region.
Lidar system with separation of signals by polarization angle
The LIDAR system includes a polarization component configured such that a first light signal traveling through the polarization component along an optical pathway has its polarization angle changed from a first polarization angle to a second polarization angle. The polarization angle is also configured such that a second light signal traveling the optical pathway in a direction that is the reverse of the direction traveled by the first light signal both enters and exits the polarization component in the second polarization angle. The LIDAR system is configured to output a LIDAR output signal that includes light from the first light signal. The LIDAR system is also configured to receive a LIDAR return signal that includes light from the LIDAR output signal after the LIDAR output signal was reflected by an object located outside of the LIDAR assembly.
Quality indicators for collection of and automated measurement on ultrasound images
Aspects of the technology described herein relate to techniques for calculating, during imaging, a quality of a sequence of images collected during the imaging. Calculating the quality of the sequence of images may include calculating a probability that a medical professional would use a given image for clinical evaluation and a confidence that an automated analysis segmentation performed on the given image is correct. Techniques described herein also include receiving a trigger to perform an automatic measurement on a sequence of images, calculating a quality of the sequence of images, determining whether the quality of the sequence of images exceeds a threshold quality, and performing the automatic measurement on the sequence of images based on determining that the quality of the sequence of images exceeds the threshold quality.
Quality indicators for collection of and automated measurement on ultrasound images
Aspects of the technology described herein relate to techniques for calculating, during imaging, a quality of a sequence of images collected during the imaging. Calculating the quality of the sequence of images may include calculating a probability that a medical professional would use a given image for clinical evaluation and a confidence that an automated analysis segmentation performed on the given image is correct. Techniques described herein also include receiving a trigger to perform an automatic measurement on a sequence of images, calculating a quality of the sequence of images, determining whether the quality of the sequence of images exceeds a threshold quality, and performing the automatic measurement on the sequence of images based on determining that the quality of the sequence of images exceeds the threshold quality.
Pose estimation for mobile autonomous apparatus at fractional time periods of a complete sensor sweep
Apparatus for determining a current pose of a mobile autonomous apparatus is presented. In embodiments, an apparatus may include interface circuitry to receive detection and ranging data outputted by a Light Detection and Ranging (LIDAR) sensor that nominally sweeps and provides D degrees of detection and ranging data in continuous plurality of quanta, each covering a portion of the D degrees sweep, every time period T. The apparatus may further include pose estimation circuitry coupled to the interface circuitry to determine and provide a current pose of the mobile autonomous apparatus every fractional time period t, independent of when the LIDAR sensor actually completes each sweep. In embodiments, the apparatus may be disposed on the mobile autonomous apparatus.
Roof module for forming a vehicle roof comprising a cleaning device and method for cleaning a see-through area
The invention relates to a roof module for forming a vehicle roof (100) on a motor vehicle, the roof module comprising a panel component (12) which at least partially forms a roof skin (14) of the vehicle roof (100) and serves as an outer sealing surface of the roof module (10), at least one sensor module (15) comprising a controller (27) and at least one environment sensor (16) configured to send and/or receive electromagnetic signals through a see-through area (20) in order to detect a vehicle environment, and at least one cleaning device (23) comprising at least one cleaning nozzle (24) configured to clean the see-through area (20). The at least one environment sensor (16) is configured to detect at least one object (28) moving toward the see-through area (20) in the form of image data, and the controller (27) is configured to generate at least one object information from the image data and to prompt the at least one cleaning nozzle (24) to discharge a cleaning fluid based thereon.
LIDAR device
A light detection and ranging (LIDAR) device is provided. The LIDAR device includes: a light source configured to emit first light, a first reflector configured to omnidirectionally receive second light that is light reflected or scattered by an object that is irradiated by the first light, and reflect the second light, a light detector including a pixel array, the light detector being configured to detect the second light reflected from the first reflector, and a processor configured to acquire location information of the object based on detection of the second light by the light detector.
SEMICONDUCTOR DEVICE AND MANUFACTURING METHOD OF SAME
To provide a semiconductor device regarding which filling material can be suitably filled in between substrates in a case of disposing a plurality of component parts of the semiconductor device between the substrates, and a manufacturing method of the same. A semiconductor device according to the present disclosure includes a first substrate, a plurality of protruding portions that protrude with respect to a first face of the first substrate, a plurality of types of insulating films that are provided at least between the protruding portions on the first face of the first substrate, a second substrate that is provided facing the first face of the first substrate, and a filling material that is provided between the first substrate and the second substrate, so as to come into contact with the plurality of types of insulating films.
SYSTEMS AND METHODS FOR SCANNING THREE-DIMENSIONAL OBJECTS
A method for computing a three-dimensional (3D) model of an object includes: receiving, by a processor, a first chunk including a 3D model of a first portion of the object, the first chunk being generated from a plurality of depth images of the first portion of the object; receiving, by the processor, a second chunk including a 3D model of a second portion the object, the second chunk being generated from a plurality of depth images of the second portion of the object; computing, by the processor, a registration of the first chunk with the second chunk, the registration corresponding to a transformation aligning corresponding portions of the first and second chunks; aligning, by the processor, the first chunk with the second chunk in accordance with the registration; and outputting, by the processor, a 3D model corresponding to the first chunk merged with the second chunk.