A LIDAR (1) includes at least one light emitting output (11) and at least one light receiving input (12), at least one light source (2) adapted to emit pulsed laser radiation and at least one light detector (3) adapted to receive reflected laser radiation. The light source (2) is coupled to a first port (411) of a duplexer (4), a fourth port (421) of the duplexer (4) is coupled to the light emitting output (11), and a third port (412) of the duplexer (4) is coupled to the light receiving input (12). A second port (422) of the duplexer (4) is coupled to the light detector (3). The LIDAR may be provided to a car or a robot, which employs the device and its method of operation, for optical remote sensing of a target (85).

In an embodiment, a method for estimating a composition of food includes: receiving a first three-dimensional (3D) image; identifying food in the first 3D image; determining a volume of the identified food based on the first 3D image; and estimating a composition of the identified food using a millimeter-wave radar.

Techniques are provided for determining a location of a mobile device based on visual positioning solution (VPS). An example method for determining a position estimate of a mobile device includes obtaining sensor information, detecting one or more identifiable features in the sensor information, determining a range to at least one of the one or more identifiable features, obtaining coarse map information, determining a location of the at least one of the one or more identifiable features based on the coarse map information, and determining the position estimate for the mobile device based at least in part on the range to the at least one of the one or more identifiable features.

Embodiments of this application provide a signal processing method and apparatus, and a storage medium, applied to the radar field. One example method includes: performing channel listening based on a first signal and a second signal, and determining, based on a result of the channel listening, a first time-frequency resource for target detection, where the channel listening includes performing channel listening based on a first listening signal in a first time domain range and performing channel listening based on a second listening signal in a second time domain range, and a time domain resource of the first time-frequency resource is the first time domain range.

The present disclosure relates to a driving assistance system, includes: a light detection and ranging module configured to detect position parameters of objects around the light detection and ranging module; a LiFi driving module connected to the light detection and ranging module and being capable of receiving the position parameters and modulating the position parameters to generate a LiFi signal; and a lighting module connected to the LiFi driving module, and configured to provide lighting and transmit the LiFi signal.

A weather depiction system for an aircraft is disclosed. A radar is configured to scan a surrounding environment of the aircraft and provide weather data. An aircraft computing device is configured to: detect weather patterns using the weather data, receive a flight trajectory of the aircraft from a flight management system (FMS), compare the flight trajectory to an altitude of each of the weather patterns, identify the weather pattern as relevant or non-relevant based on the comparison, and present symbols corresponding to the relevant weather patterns on the weather display and exclude symbols corresponding to the non-relevant weather patterns on the weather display.

A method carried out using a radar level gauge system, the tank having a tank roof supporting the radar level gauge system, a tank wall, and a tank atmosphere in a space defined by a surface of a product in the tank, the tank roof, and the tank wall, wherein the method comprises generating and transmitting an electromagnetic first transmit signal; propagating the first transmit signal through the tank atmosphere towards a corner reflector formed by the surface of the product and the tank wall where the surface of the product meets the tank wall, the corner reflector being at a known horizontal distance from the radar level gauge system; receiving an electromagnetic first reflection signal resulting from reflection of the first transmit signal at the corner reflector; and performing a filling level determination and/or a verification operation for the radar level gauge system based on a timing relation between the first transmit signal and the first reflection signal, and the known horizontal distance between the radar level gauge system and the corner reflector.

A system can include a computer including a processor and a memory, the memory storing instructions executable by the processor to receive point cloud data. The instructions further include instructions to generate a plurality of feature maps based on the point cloud data, each feature map of the plurality of feature maps corresponding to a parameter of the point cloud data. The instructions further include instructions to aggregate the plurality of feature maps into an aggregated feature map. The instructions further include instructions to generate, via a feedforward neural network, at least one of a segmentation output or a classification output based on the aggregated feature map.

A radar system for motor vehicles, with a plurality of transmit/receive units arranged on separate installation supports for installation at various locations in the motor vehicle, an evaluation system for evaluating the radar signals received on a plurality of channels in a plurality of processing steps, a first processing step delivering a digital time signal for each channel, which digital time signal represents the received radar signal, and a final processing step delivering as the result location data for individual radar objects and at least the final processing step being implemented for the plurality of transmit/receive units in a central evaluation unit with which the transmit/receive units in each case communicate via a raw data interface. The each of raw data interfaces has a serializer, which is configured to transfer raw data from the plurality of channels of the transmit/receive unit in question serially to the central evaluation unit.

Wireless occupancy sensors and methods for using the same are provided. In some embodiments, a occupancy sensor comprises: a housing that includes a window positioned at a top portion of the housing; a battery at a lower portion of the housing; a first magnetometer that detects changes in a magnetic field when a vehicle moves over the first magnetometer; an optical sensor that detects one or more objects in a field of view of the optical sensor through the window; a transmitter for transmitting sensor data to a gateway device, and a processor that controls the first magnetometer, the optical sensor, and the transmitter.