Abstract: This document describes techniques and systems directed at slow-time modulation for multiple radar channels. A set of transmit channels are modulated using code sequences to phase-modulate transmission signals. A second set of transmit channels are modulated using the same codes for phase modulation as well as using a frequency phase shift. Demodulation is achieved by multiplying received signals by the code sequences. Fast Fourier transforms (FFT) are applied to the received signals to generate a range-Doppler map for each receive channel. A non-coherent integration is performed on the range-Doppler maps to form a range-Doppler average map. The range-Doppler average map is shifted by the frequency phase shift, and the minimal of the range-Doppler average map and the shifted range-Doppler average map is retained. These techniques may reduce the impact of signal residue and increase angular resolution by enabling multiple transmit channels to be utilized.

Abstract: To provide an object position detection system in which positions of detection target objects are determined with accuracy, in which pairing accuracy increases, and in which accuracy of detecting the detection target objects increases. Radar devices 2A and 2B receive, with respective reception antennas 31, reception waves obtained by transmission waves that have been transmitted from respective transmission antennas 25 being reflected back from a plurality of targets T1, T2, T3, T4, . . . , and Tm and calculate relative distances to the plurality of targets T1, T2, T3, T4, . . . , and Tm from beat frequencies between the transmission waves and the reception waves without using pieces of phase information of the transmission waves and the reception waves. An arithmetic device 4 includes a pairing means and a position calculation means.

Abstract: The present disclosures discloses a method of target feature extraction based on millimeter-wave radar echo, which mainly solves the problems that techniques in the prior art cannot fully utilize raw radar echo information to obtain more separable features and cannot accurately distinguish targets with similar physical shapes and motion states. The method is implemented as follows: acquiring measured data of targets, generating an original RD map, and removing ground clutter of the map; sequentially performing target detection, clustering and centroid condensation on the RD map after the ground clutter removal; acquiring a continuous multi-frame RD maps and carrying out the target tracking; according to the tracking trajectory, selecting candidate areas and extracting features based on a single piece of RD map and features based on two successive RD maps, respectively.

Abstract: A portable radar system that may leverage the processing power, input and/or display functionality in mobile computing devices. Some examples of mobile computing devices may include mobile phones, tablet computers, laptop computers and similar devices. The radar system of this disclosure may include a wired or wireless interface to communicate with the mobile computing device, or similar device that includes a display. The radar system may be configured with an open set of instructions for interacting with an application executing on the mobile computing device to accept control inputs as well as output signals that the application may interpret and display, such as target detection and tracking. The radar system may consume less power than other radar systems. The radar system of this disclosure may be used for a wide variety of applications by consumers, military, law enforcement and commercial use.

Abstract: The present disclosure relates to a hybrid multiple-input multiple-output (MIMO) radar concept. Via a first subset of a plurality of transmit channels and during a first time interval, first frequency-modulated continuous-wave (FMCW) radar signals are con-currently transmitted with different phase offsets among different transmit channels of the first subset in accordance with a first predefined code division multiplexing scheme. Via a second subset of the transmit channels and during a second time interval subsequent to the first time interval, second FMCW radar signals are concurrently transmitted with different phase offsets among different transmit channels of the second subset in accordance with a second predefined code division multiplexing scheme.

Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system's receiver is saturated. As such, the radar system can forgo integrating an automatic gain control circuit to prevent the receiver from becoming saturated. Furthermore, the radar system can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system's dynamic range increases, which enables the radar system to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system.

Abstract: A radar system processes signals in a flexible, adaptive manner to determine range, Doppler (velocity) and angle of objects in an environment. The radar system includes transmitters configured to transmit radio signals, receivers configured to receive radar signals, and a control unit. The received radio signals include transmitted radio signals transmitted by the transmitters and reflected from objects in an environment. The control unit adaptively controls the transmitters and the receivers based on a selected operating mode for the radar system. The selected operating mode meets a desired operational objective defined by current environmental conditions. The control unit is configured to control the receivers to produce and process data according to the selected operating mode.

Abstract: Systems and methods for improving the use of precipitation sensors, such as radar and rain gauges, are described herein. In an embodiment, an agricultural intelligence computer system receives one or more digital precipitation records comprising a plurality of digital data values representing precipitation amount at a plurality of locations. The system additionally receives one or more digital forecast records comprising a plurality of digital data values representing precipitation forecasts, each of which comprising predictions of precipitation at a plurality of lead times. The system identifies a plurality of forecast values for a plurality of locations at a particular time, each of the plurality of forecast values corresponding to a different lead time. The system uses the plurality of forecast values to generate a probability of precipitation at each of the plurality of locations.

Abstract: The present disclosure describes methods and systems for measuring crosswind speed by optical measurement of laser scintillation. One method includes projecting radiation into a medium, receiving, over time, with a photodetector receiver, a plurality of scintillation patterns of scattered radiation, comparing cumulative a radiation intensity for each received scintillation pattern of the received plurality of scintillation patterns, and measuring a cumulative weighted average cross-movement within the medium using the compared cumulative radiation intensities.

Abstract: Techniques are described for determining whether to process a job request. An example, method can include a device emitting a first pulse using a light detection and ranging (LIDAR) system coupled to an autonomous vehicle. The device can receive a first signal reflected off of an object. The device can emit a second pulse using the system, a threshold time interval being configured for the second laser pulse to hit the object in motion. The device can receive a second signal reflected off of the object. The device can determine a first time of flight information of the first signal and a second time of flight information of the second signal. The device can determine a velocity of the object based at least in part on the first time of flight information and the second time of flight information.

Abstract: A surround multi-object tracking and surround vehicle motion prediction framework is provided. A full-surround camera array and LiDAR sensor based approach provides for multi-object tracking for autonomous vehicles. The multi-object tracking incorporates a fusion scheme to handle object proposals from the different sensors within the calibrated camera array. A motion prediction framework leverages the instantaneous motion of vehicles, an understanding of motion patterns of freeway traffic, and the effect of inter-vehicle interactions. The motion prediction framework incorporates probabilistic modeling of surround vehicle trajectories. Additionally, subcategorizing trajectories based on maneuver classes leads to better modeling of motion patterns. A model takes into account interactions between surround vehicles for simultaneously predicting each of their motion.

Abstract: Described herein are systems and methods that that mitigate avalanche photodiode (APD) blinding and allow for improved accuracy in the detection of a multi-return light signal. A blinding spot may occur due to saturation of a primary APD. The systems and methods include the incorporation of a redundant APD and the utilization of time diversity and space diversity. Detection by the APDs is activated by a bias signal. The redundant APD receives a time delayed bias signal compared to the primary APD. Additionally, the redundant APD is positioned off the main focal plane in order to attenuate an output of the redundant APD. With attenuation, the redundant APD may not saturate and may have a successful detection during the blinding spot of the primary APD. Embodiments may include multiple primary APDs and multiple secondary APDs.

Abstract: Apparatus for optical sensing includes an illumination assembly, which is configured to direct a first array of beams of optical radiation toward different, respective areas in a target scene while modulating the beams with respective carrier waves having a common carrier frequency and different respective phase angles, which vary across the first array in a predefined spatial pattern. A detection assembly includes a second array of sensing elements, which are configured to output respective signals in response to the optical radiation that is incident on the sensing elements during one or more detection intervals, which are synchronized with the carrier frequency, and objective optics, which are configured to form an image of the target scene on the second array. Processing circuitry processes the signals output by the sensing elements in order to generate a depth map of the target scene.

Abstract: A method for optical distance measurement, comprising a creation of at least one frame, including determining 3D information of at least one subregion of a measuring region. A time budget for creating the frame is split between a first phase for assessing at least one region of interest, and a second phase for determining 3D information from the at least one region of interest. During the first phase a plurality of measuring pulses is emitted by a transmitting unit, and reflected measuring pulses are received by a receiving unit, wherein 2D information of the measuring region is determined, wherein at least one region of interest is assessed from the 2D information. During the second phase a plurality of measuring pulses is emitted by a transmitting unit, and reflected measuring pulses are received by the receiving unit, wherein 3D information of the at least one region of interest is determined as part of the second phase.

Abstract: Systems and methods for determining elevation based on structural modeling and light detection and ranging (LIDAR) data are disclosure. LIDAR bare earth data corresponding to an area within a parcel boundary is obtained as preliminary elevation data. A basis of structure boundary is determined for a structure within the parcel boundary based on an absence of the LIDAR bare earth data within a region in the area. Three-dimensional models are generated based on photographic data, to represent portions of the structure that affect LIDAR signals. A structure boundary for the structure is determined based on the basis of structure boundary in combination with supplemental elevation data generated using the three-dimensional models. Adjacent grade values are determined based on a portion of the preliminary elevation data and supplemental elevation data corresponding to an area between the structure boundary and a buffer boundary.

Abstract: Provided herein is a system and method that acquires data and determines a driving action based on the data. The system comprises a processor configured to acquire data of nonuniform resolution over a field of view of the sensor, and a controller configured to determine a driving action of a vehicle based on the data, and perform the driving action.

Abstract: A handheld electronic device, such as a GPS-enabled wireless communications device with an embedded camera, a GPS-enabled camera-phone or a GPS-enabled digital camera, determines whether ephemeris data needs to be obtained for geotagging digital photos taken with the device. By monitoring user activity with respect to the camera, such as activation of the camera, the device can begin pre-acquisition of a GPS position fix by obtaining needed ephemeris data before the photograph is actually taken. This GPS pre-acquisition improves the likelihood that a position fix (GPS lock) is achieved by the time the photo is taken (to enable immediate geotagging). Alternatively, the photo can be geotagged retroactively by appending the current location to the metadata tag associated with the digital photo. An optional acquisition status indicator can be displayed on a user interface of the device to indicate that a position fix is being obtained.

Abstract: A system and method for detecting spoofing of a navigation system (NS) using a plurality of antennas. Carrier phase and CN0 measurements are obtains of a plurality of signals. The measurements are then double differenced and compared to predefined thresholds to determine whether a signal is authentic or not. Once sufficient authentic signals are identified, position and time is determined using the authenticated signals. Residuals are estimated for all signals. An average value of the residuals or the authenticated signals is calculated and is then removed from the residuals of the unauthenticated signals. Should the remainder exceed a predefined threshold, the signal is deemed to be spoofed. Otherwise, the signal is deemed to be authentic.

Abstract: A system and method for detecting spoofing of a Global Navigation Satellite System (GNSS) system using a plurality of antennas. Signals received by at least two of the plurality of antennas are authentication by use of one or more of a carrier phase authentication procedure, a signal power authentication procedure, and/or a channel distortion authentication procedure.

Abstract: The invention pertains to a method for recreating unavailable measurements in a GNSS system by producing at least one GNSS parameter estimate Formula (I) at a target carrier frequency (fk), the method comprising at least one of: deriving (1030), from one or more available pseudorange measurements (Pi) at respective other carrier frequencies (fi), a pseudorange estimate Formula (II) at said target carrier frequency (fk) and deriving (1040), from said one or more available pseudorange measurements (Pi) and one or more available carrier phase measurements (?i) at said respective other carrier frequencies (fi), a carrier phase estimate Formula (III) at said target carrier frequency (fk).

Abstract: Provided is a vehicle sensor mounting structure by which a GNSS antenna and at least one external sensor are mounted on a roof of a vehicle, the at least one external sensor being configured to detect an external state of the vehicle. The vehicle sensor mounting structure includes: a first wiring hole into which a sensor wiring line of the at least one external sensor is drawn to be placed under the roof, the first wiring hole being formed in the roof; and a second wiring hole into which an antenna wiring line of the GNSS antenna is drawn to be placed under the roof, the second wiring hole being formed in the roof.

Abstract: A device may use Precise Point Positioning (PPP) correction information to generate Real Time Kinematic (RTK) correction information that can be sent to other devices for RTK-based positioning. In particular, according to some embodiments, the first device having access to PPP correction information may obtain the PPP correction information and generate RTK correction information by determining a virtual RTK base station location and generating, based on the PPP correction information, a virtual Multi-Constellation Multi-Frequency (MCMF) measurement corresponding to the determined virtual RTK base station location. This virtual MCMF measurement (and/or data derived therefrom) can then be sent to other devices as RTK correction information.

Abstract: A high-accuracy positioning method and a corresponding positioning system and positioning terminal are provided, and may be used in the field of intelligent vehicle technologies. In this positioning method, a real-time kinematics (RTK) positioning technology and a multi-receiver constraint MRC positioning technology are used to determine a location of a to-be-positioned target. In this positioning method, an RTK error correction model and an MRC error correction model may be preconstructed according to a big data technology. The RTK error correction model is used to provide a correction value for an original detection value obtained based on the RTK positioning technology. The MRC error correction model is used to provide a correction value for an original detection value obtained based on the MRC positioning technology. Then, the correction values are used to calculate the location of the to-be-positioned target.

Abstract: In some examples, an unmanned aerial vehicle (UAV) may determine a first acceleration of the UAV based at least on information from an onboard accelerometer received at least one of prior to or during takeoff. The UAV may determine a second acceleration of the UAV based at least on location information received via a satellite positioning system receiver at least one of prior to or during takeoff. The UAV may further determine a relative heading of the UAV based at least in part on the first acceleration and the second acceleration, and may be directed to navigate an environment based at least on the determined relative heading.

Abstract: A method can include receiving a set of satellite signals, refining the set of satellite signals to generate a refined set of satellite signals, determining a satellite solution for each satellite associated with a satellite signal in the refined set of satellite signals, applying an a-priori correction to the satellite signals, determining a set of time differenced satellite signals between the satellite signals from a current epoch and a previous epoch; and determining the positioning solution of the rover using a fusion engine that processes the differenced satellite signals and inertial measurement unit (IMU) data.

Abstract: A coordinate conversion system including a controller that converts geographic-coordinate-system coordinates of a certain point into site-coordinate-system coordinates includes: an image-capturing device that captures an image of a reference point; and a GNSS antenna that receives a navigation signal.

Abstract: Systems and methods are provided that may be implemented to modify information of an audio data transmission based on one or more measured signal reception and/or transmission characteristics of a radio frequency (RF) signal data transmission that contains or otherwise conveys the audio data transmission. The modified audio data may then be acoustically reproduced in analog form as sound waves. Examples of signal reception characteristics of a RF signal data transmission that may be measured and used as a basis for modifying information of audio data of an audio data transmission include, but are not limited to, time Difference of Arrival (TDOA), Angle of Arrival (AoA), measured received signal strength, etc. Example signal transmission characteristics of a RF signal that may be measured and used as a basis for modifying information of audio data include, but are not limited to, Angle of Departure (AoD).

Abstract: Disclosed are techniques for performing wireless communication. In some aspects, a wireless communication device may determine that a prospective position of the wireless communication device is in a geographic area associated with a deficient global navigation satellite system (GNSS) signal. In some cases, the wireless communications device can transmit a sidelink synchronization signal to at least one user equipment (UE) device that is located within the geographic area associated with the deficient GNSS signal.

Abstract: According to one embodiment, an electronic apparatus includes a processor configured to estimate positions of wireless devices communicating each other from a plurality of position candidates based on position candidate information indicating the position candidates of the wireless devices and communication information between the plurality of wireless devices located in any of the plurality of position candidates, and determine a first position among the position candidates according to a likelihood of the wireless devices estimated to be located in the position candidates.

Abstract: In one example embodiment, a certified location service enables a mobile device to access a location-based service when a determined location meets a location requirement and an overall confidence score for the determined location exceeds a confidence threshold. A data package is received including identifiers of beacons observed by the mobile device, and a location of the mobile device is determined based on a calculated location of one or more of the beacons. An overall confidence score for the determined location is calculated based on one or more individual confidence scores for the one or more beacons used in determining the location or composite confidence scores for types of the one or more beacons. The determined location and the overall confidence score are provided to one or more provider servers that allow the mobile device to access a location-based service based thereon.

Abstract: The invention discloses a method for estimating the air propagation delay of a direct wave, wherein an azimuth, an elevation angle and a total delay of a multipath wave reaching a receiving end are obtained through a receiving device; a departure angle of a reflected wave is obtained using a geometric relationship of wave reflection; a hypothetical point on a direct wave ray is selected as a transmitting end, and hereby the air propagation delay of the direct wave and the position of a reflection point of the reflected wave are calculated; the propagation delay and distance of the reflected wave are calculated according to the total delay of the direct wave and the reflected wave and the position of the hypothetical point. The invention can obtain the air propagation delay of the direct wave, thereby obtaining a propagation distance of the direct wave and fulfilling the requirements of ranging and positioning.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.

Abstract: An apparatus obtains a set of radio data comprising signal strength related values for radio signals transmitted by a transmitter with an association of each signal strength related value with a representation of a geographical location. The apparatus applies a frequency transform to the obtained set of radio data to obtain transform coefficients, each transform coefficient comprising a transform index and an associated transform value. The apparatus selects a subset of transform indices having more significant transform values than the remaining transform indices and compresses the transform indices by encoding each transform index exploiting a probability of occurrence of an index value of a respective transform index. The same or another apparatus decodes the compressed transform indices again for use in position operations.

Abstract: In one embodiment, an asynchronous wireless system for localization of nodes comprises a first wireless node being configured to receive a first communication from a third wireless node having an unknown location, to determine time difference of arrival (TDoA) information of the reception of the first communication between each of the first and a second wireless node, to determine TDoA ranging including a relative or absolute position of the third wireless node using the time difference of arrival information, and to synchronize the first and second wireless nodes based on a second communication with the synchronization being decoupled in time from the first communication. In another embodiment, a computer implemented method comprises receiving, with first and second wireless anchor nodes, packets from a wireless arbitrary device and performing time difference of arrival ranging upon reception of the packets between each of the first and the second wireless anchor nodes.

Abstract: An object detection apparatus 1000 is provided with: a transmission unit 1101 that emits a radio wave as a transmission signal toward a target 1003 object; a reception unit 1102 that receives, through receiving antennas, radio waves reflected by the object as reception signals, and that generates, for each reception signal received by the respective receiving antennas, using the reception signals, an intermediate frequency signal; and an arithmetic device 1211 that decides sampling times so as to suppress generation of a virtual image by a beam pattern obtained by synthesizing the respective intermediate frequency signals, and generates an intermediate frequency signal for target position detection by performing sampling on the intermediate frequency signals at the decided sampling times, and detects the target using the intermediate frequency signals for position detection.

Abstract: Exemplary aspects are directed to a radar-based detection circuit or system with signal reception circuitry to receive reflection signals in response to radar signals transmitted towards objects. The system may include logic/computer circuitry and a multi-input multi-output (MIMO) virtual array to enhance resolution or remove ambiguities otherwise present in processed reflection signals. The MIMO array may include sparse linear arrays, each being associated with a unique antenna-element spacing from among a set of unique co-prime antenna-element spacings.

Abstract: A Signal Processing Unit (SPU) having a thresholding circuit configured to detect a peak cell of a radar data cube, and to output an identification of the peak cell and energy values of the peak cell and its adjacent cells; and an interpolation circuit coupled to the thresholding circuit, and configured to determine and transmit from the SPU to a Digital Signal Processor (DSP), a relative position of the peak cell between the adjacent cells based on the energy values.

Abstract: A calibration utilizes reference data indicative of a position of a target element relative to a reference location, of a position of a reference point on a rotatable support relative to the reference location, orientation data indicative of at least one angular position of the rotatable support, and antenna measurement data indicative of electromagnetic echo signals received by a radar antenna from the target element. A measured position of the target element relative to the radar antenna is determined based on at least a portion of the antenna measurement data. A reference position of the target element relative to the radar antenna is determined based on the reference data and on at least a portion of the orientation data. At least one bias value or function associated with the orientation data and/or the antenna measurement data is determined based on a deviation between the determined measured position and reference position.

Abstract: Signal processing circuitry includes at least one processor configured to obtain a digitized radar signal, and further configured, for one or more iterations, to: determine a first power of at least one first signal sample of the radar signal; determine a second power of at least one second signal sample of the radar signal, the at least one second signal sample being subsequent in time to the at least one first signal sample; and determine a difference value between the second power and the first power. The at least one processor further configured to detecting a burst interference signal occurring within the radar signal based on the one or more difference values from the one or more iterations.

Abstract: The invention relates to a radar system for capturing surroundings of a moving object, in particular a vehicle and/or a transportation apparatus, such as a crane, in particular, wherein the system is mounted or mountable on the moving object, wherein the radar system comprises at least two non-coherent radar modules (RM 1, RM 2, . . . RM N) having at least one transmitter antenna and at least one receiver antenna, wherein the radar modules (RM 1, RM 2, . . . RM N) are arranged or arrangeable in distributed fashion on the moving object, wherein provision is made of at least one evaluation device which is configured to process transmitted and received signals of the radar modules to form modified measurement signals in such a way that the modified measurement signals are coherent in relation to one another.

Abstract: A sensor includes: a correlation matrix calculator which calculates a correlation matrix from biological information extracted using reception signals obtained by receiving, in a predetermined period, signals transmitted to a predetermined space; a first number information calculator which calculates first number information; a MUSIC spectrum calculator which estimates a candidate of a position of at least one living body and outputs a likelihood spectrum; and a second number information calculator which estimates a position or second number information, which is a total number of living bodies with an increased degree of likelihood, from first position information possibly including a plurality of position candidates.

Abstract: A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

Abstract: This disclosure relates to systems and methods for shapelet decomposition based recognition using radar. State-of-the-art solutions involve use of standard machine learning classification techniques for gesture recognition which suffer with problem of dependency on collected data. The present disclosure overcome the limitations faced by the state-of-the-art solutions by obtaining a plurality of time domain signal using a radar system comprising three vertically arranged radars and one or more sensors, identifying one or more gesture windows to obtain one or more shapelets corresponding to one or gestures which are further decomposed into a plurality of sub shapelets. Further, at least one of (i) a positive or (i) a negative time delay is applied to each of the plurality of sub shapelets to obtain a plurality of composite shapelets which are further mapped with a plurality of trained shapelets to recognize gestures comprised in one or more activities performed by a subject.

Abstract: Methods, apparatus and systems for wirelessly monitoring a micro motion of an object are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel and a motion of an object in the venue.

Abstract: In various examples, a deep neural network (DNN) may be used to detect and classify animate objects and/or parts of an environment. The DNN may be trained using camera-to-LiDAR cross injection to generate reliable ground truth data for LiDAR range images. For example, annotations generated in the image domain may be propagated to the LiDAR domain to increase the accuracy of the ground truth data in the LiDAR domain—e.g., without requiring manual annotation in the LiDAR domain. Once trained, the DNN may output instance segmentation masks, class segmentation masks, and/or bounding shape proposals corresponding to two-dimensional (2D) LiDAR range images, and the outputs may be fused together to project the outputs into three-dimensional (3D) LiDAR point clouds. This 2D and/or 3D information output by the DNN may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle.

Abstract: A structure of a silicon photonics device for LIDAR includes a first insulating structure and a second insulating structure disposed above one or more etched silicon structures overlying a substrate member. A metal layer is disposed above the first insulating structure without a prior deposition of a diffusion barrier and adhesion layer. A thin insulating structure is disposed above the second insulating structure. A first configuration of the metal layer, the first insulating structure and the one or more etched silicon structures forms a free-space coupler. A second configuration of the thin insulating structure above the second insulating structure forms an edge coupler.

Abstract: An electronic device and a method for controlling an electronic device are provided. The electronic device includes a first side and a second side facing away from each other, where a frame is between the first side and the second side; the first side is provided with a display module that is at least partially light-permeable, and a gap is between the display module and the frame; a first light emitting device, a second light emitting device, and a light receiving device are inside the electronic device, the first light emitting device and the light receiving device are below the display module and corresponding to a light-permeable display region of display module, the first light emitting device emits a light signal to the outside through the light-permeable display region, and the second light emitting device emits a light signal to the outside through the gap.

Abstract: A LIDAR system includes an optical transmitter comprising a plurality of lasers, each illuminating a FOV in an illumination region. A transmitter controller has outputs connected to respective laser inputs. The transmitter controller generates electrical pulses at the outputs so that the lasers generate light in a desired pattern in the illumination region. An optical receiver has an input FOV in the illumination region and comprises a plurality of detectors, each having a FOV and being positioned to detect light over the illumination region; and a TOF measurement circuit that measures the TOF from the lasers to the detectors. The receiver calculates range information. An adaptive optical shutter positioned between the optical transmitter and the optical receiver has a transparent or reflected region FOV, where the optical shutter restricts illumination at the input of the optical receiver to a region which is smaller than the optical receiver FOV.

Abstract: Embodiments of the present disclosure provide an emission module and a mounting and adjustment method of the same, a LiDAR and a smart sensing device. An emission module includes an emission apparatus and a collimating element provided sequentially along an outgoing laser, where the emission apparatus is configured to generate the outgoing laser, and the collimating element is configured to collimate the outgoing laser generated by the emission apparatus and emit the outgoing laser; and the collimating element includes a fast-axis collimating element and a slow-axis collimating element provided sequentially along the outgoing laser, the fast-axis collimating element is configured to receive the outgoing laser generated by the emission apparatus and collimate the outgoing laser in a fast-axis direction, and the slow-axis collimating element is configured to receive the outgoing laser collimated in the fast-axis direction, collimate the outgoing laser in the slow-axis direction and emit the outgoing laser.

Abstract: A system and method for scanning an amplitude modulated transmitted beam through a 360° FOV. The method includes generating a laser beam to be transmitted, intensity modulating the laser beam at multiple modulation frequencies, directing the laser beam to a spiral phase plate resonator (SPPR) device, directing a transmitted beam from the SPPR device onto a conical mirror to direct the transmitted beam at a certain angle therefrom depending on the frequency of the laser beam and processing a return beam.