Abstract: A vehicle sensor device (1) includes an outer cover (12), a sensor unit (20) that transmits and receives an electromagnetic wave through the outer cover (12) and outputs a signal related to the electromagnetic wave incident on an inner side of the outer cover (12), a heater (30) that is provided in the outer cover (12) and heats a transmission region (AR) of the outer cover (12) through which the electromagnetic wave emitted from the sensor unit (20) passes, and a control unit (CO). The control unit (CO) outputs a detection signal of an object located outside the outer cover (12) based on the signal from the sensor unit (20) in at least a part of a period in which the heater (30) is OFF, and stops outputting of the detection signal in at least a part of a period in which the heater (30) is ON.

Abstract: In an embodiment, a first node receives, from a second node, a plurality of beams. The first node determines a time of arrival of each beam of the plurality of beams. The first node identifies, from the plurality of beams, one or more first beams of interest for a positioning procedure based on the times of arrival of the plurality of beams. The first node determines a first reference timing based on the time of arrival for a given beam among the identified one or more first beams of interest. The first node sends, to the second node, a positioning beacon in accordance with the first reference timing.

Abstract: Techniques for estimating a ground plane based on lidar data and/or attributes of the ground plane are discussed herein. A vehicle captures radar data, e.g., 4D radar data including height information, as it traverses an environment. The radar data can include direct returns from an object and reflected or multipath returns, e.g., that reflect off a ground surface and the object. A position of the ground plane can be estimated based at least in part on a distance between direct returns and the reflected returns. Attributes of the ground plane may be determined from differences between the direct returns and the reflected returns.

Abstract: The disclosure provides ranging methods and apparatuses. One example method includes that a first device sends a first signal on a first channel. The first device receives, on a second channel, a second signal from a second device, where the second signal is a signal obtained after frequency conversion is performed on the first signal. The first device calculates a distance between the first device and the second device based on a phase difference between carriers of the second signal.

Abstract: An Internet of Things (IoT) device can include a switch module configured to control a power supply for at least one powered device, a WiFi module configured to perform wireless communication and occupancy activity sensing, and a processor configured to determine human activity recognition WiFi measurements from the WiFi module based on the occupancy activity sensing and generate corresponding commands for the switch module based on the determined human activity recognition WiFi measurements.

Abstract: A radar sensor includes a flexible printed circuit board (PCB). A first antenna or antenna array is mounted on a first portion of the flexible PCB, and a second antenna or antenna array is mounted on a second portion of the flexible PCB. The first portion and the second portion of the flexible PCB are offset such that the first and second antennas/arrays have respective first and second fields-of-view (FOVs) that are offset from one another. The first and second antennas/arrays can be coupled to a same backend PCB that includes a hardware logic component. The hardware logic component is configured to receive, from the flexible PCB, radar data that is representative of the radar returns received by the first and second antennas/arrays. The hardware logic component processes the radar data to generate detections that are indicative of points on surfaces of objects in the first and second FOVs.

Abstract: A method, system and vehicle that repetitively correct angle offsets in a synthetic aperture radar image of a vehicle while the vehicle is in motion by utilizing a radar system and a camera to determine accurate velocity of a measured object by matching angles of the object in the SAR image with angles of the object in the camera image, thereby reducing angle offsets of objects in the SAR image. The method includes obtaining an SAR image of another vehicle via a radar unit of the vehicle, obtaining a camera image of the other vehicle via a camera unit of the vehicle, determining an association between at least one object in the SAR image and a corresponding at least one object in the camera image, correcting a velocity estimation of the vehicle based on the determined association, and adjusting the SAR image based on the corrected velocity estimation.

Abstract: A vehicle-interior monitoring apparatus for a vehicle includes a sensor and a determiner. The sensor is configured to output a millimeter radio wave toward a vehicle cabin of the vehicle and detect a millimeter reflection wave from an in-vehicle object including an occupant in the vehicle cabin of the vehicle and baggage in the vehicle cabin of the vehicle. The determiner is configured to determine a type of the in-vehicle object in the vehicle cabin of the vehicle based on a detection level of the millimeter reflection wave detected by the sensor. The determiner is configured to perform a determination, the determination including determining that the in-vehicle object is either one of a child as the occupant or the baggage based on a tendency of a change in the detection level of the millimeter reflection wave detected by the sensor.

Abstract: An apparatus for monitoring the surrounding environment of a vehicle may include: a sensor unit including a plurality of detection sensors configured to detect an object outside the vehicle according to frames with a predefined period; and a control unit configured to extract a stationary object among outside objects detected through the sensor unit by using behavior information of the vehicle, map the extracted stationary object to a preset grid map, add occupancy information to each of grids constituting the grid map depending on whether the stationary object is mapped to the grid map, calculate an occupancy probability parameter indicating the probability that the stationary object will be located at each of the grids, from the occupancy information added to the grids within the grid map in a plurality of frames, and monitor the surrounding environment of the vehicle on the basis of the calculated occupancy probability parameter.

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: A radar device configured to emit radio waves and detects an object present in a prescribed detection region includes an antenna unit and a radio wave reflector. The antenna unit is configured to emit the radio waves. The radio wave reflector is disposed in a region around the antenna unit and outside the detection region and includes a reflection surface having a height gradually changed with respect to an installation surface of the radar device.

Abstract: A method includes obtaining a first track associated with an object. A first set of parameters is generated based on the first track. Measurement data are obtained from one or more sensors. A first set of features are extracted from the measurement data. Based on the first set of parameters and the first set of features, a second set of parameters are generated by a machine learning model. The second set of parameters represent an adjustment to the first set of parameters. Based on the second set of parameters, the first track is adjusted to generate a second track associated with the object. The second track is provided to an autonomous vehicle control system for autonomous control of a vehicle.

Abstract: The present invention concerns a method for performing SAR acquisitions, which comprises performing, in a time division fashion, SAR acquisitions of areas of a swath of earth's surface by means of a SAR system carried by an air or space platform; wherein performing SAR acquisitions in a time division fashion includes contemporaneously acquiring, in each pulse repetition interval, a plurality of areas of the swath that are separated in azimuth; and wherein the areas acquired in T successive pulse repetition intervals form an azimuth-continuous portion of said swath, T being an integer greater than one.

Abstract: An axis deviation angle estimation device estimates a vertical axis deviation angle of a radar device based on roadside object information including information on a plurality of reflection points on a roadside object and road surface information including information on a plurality of reflection points on a road surface. The vertical axis deviation angle is an angle of deviation of an actual mounting direction from a reference mounting direction in a vertical direction. The actual mounting direction is an actual direction of the radar device, and the reference mounting direction is a direction of the radar device when the radar device is mounted in a reference state.

Abstract: A system and apparatus is provided for a modular radar system. The modular radar system can include a plurality of radar system modules that can be detachably coupled and can include a configurable number of radio-frequency (RF) transmit and receive assemblies. The RF transmit and receive assemblies can include radiating element(s) that emit electromagnetic radiation. The plurality of radar system modules can also include at least one processor coupled to control power of the electromagnetic radiation and/or at least one controller to control the RF transmit and receive assembly, the power unit and the digital receiver and exciter module, at least one digital receiver and exciter to convert RF to digital in receive mode, and digital to RF in transmit mode, and/or at least one RF beamformer to generate one or more RF beams.

Abstract: This document describes techniques and systems of a radar system with sequential two-dimensional (2D) angle estimation. The radar system can efficiently estimate angles in two dimensions for detections. For example, a radar system includes a processor and an antenna that can receive electromagnetic energy reflected by one or more objects. The antenna includes a 2D array that includes antenna elements positioned in a first dimension and a second dimension. The processor can determine, using electromagnetic energy received by the 2D array, first angles in the first dimension associated with a detection of the one or more objects. The processor can then steer the 2D array to the first angle to generate a steered 1D array for each first angle. Using the steered 1D array, the processor can determine second angles associated with the first angle for the detection.

Abstract: A system and method is disclosed for determining a particular vehicle state based on a UWB signal received at a plurality of receiving nodes. A plurality of channel-impulse responses (CIRs) may be computed from the UWB signal received from the plurality of receiving nodes. A plurality of peak-based features based on a selected position and amplitude may be extracted from the plurality of CIRs. A plurality of correlation-based features may be generated by correlating the plurality of CIRs to a corpus of reference CIRs relating to a plurality of vehicle states. A plurality of maximum likelihood vehicle matrices may be generated by correlating the plurality of CIRs to the corpus of reference CIRs relating to the plurality of vehicle states. The vehicle state may then be determined by processing the plurality of peak-based features and correlation-based features using the machine learning classification algorithm.

Abstract: A Frequency Modulated Continuous Wave, FMCW, radar system is provided. The radar system comprises one or more antennas configured to transmit and receive FMCW radar wave signals for scanning for objects within a full circular detection coverage range, and processing circuitry configured to provide scan data based on transmitted and received FMCW radar signals and azimuth position of the antenna(s).

Abstract: A phased-array antenna device with a long operating life without mechanical parts, has a high spatial resolution, and realizes microwave observation of broadband and high-frequency resolution. The phased-array antenna device performs direct A/D conversion through a BPF on an antenna analog signal amplified by an amplifier. Then, the device performs a second cross-spectrum calculation after conversion into complex frequency data through FFT. To detect a weak electromagnetic wave, the device repeatedly performs a second FFT over a long period and lastly performs integration.

Abstract: In an embodiment, a method includes: receiving a global trigger with a first millimeter-wave radar; receiving the global trigger with a second millimeter-wave radar; generating a first internal trigger of the first millimeter-wave radar after a first offset duration from the global trigger; generating a second internal trigger of the second millimeter-wave radar after a second offset duration from the global trigger; start transmitting first millimeter-wave radar signals with the first millimeter-wave radar based on the first internal trigger; and start transmitting second millimeter-wave radar signals with the second millimeter-wave radar based on the second internal trigger, where the second offset duration is different from the first offset duration, and where the first and second millimeter-wave radar signals are transmitted sequentially so as to exhibit no temporal overlap.