Aspects and implementations of the present disclosure relate to filtering of return points from a point cloud based on radial velocity measurements. An example method includes: receiving, by a sensing system of an autonomous vehicle (AV), data representative of a point cloud comprising a plurality of return points, each return point comprising a radial velocity value and position coordinates representative of a reflecting region that reflects a transmission signal emitted by the sensing system; applying, to each of the plurality of return points, at least one threshold condition related to the radial velocity value of a given return point to identify a subset of return points within the plurality of return points; removing the subset of return points from the point cloud to generate a filtered point cloud; and identifying objects represented by the remaining return points in the filtered point cloud.

A parking management system that facilitates motorist guidance, payment, violation detection, and enforcement using highly accurate space occupancy detection, unique vehicle identification, guidance displays, payment acceptance, violation detection, enforcement data generation, electronic booting, and towing management is described. The system enables reduced time to find parking, congestion mitigation, accurate violation detection, and easier enforcement, and increased payment and enforcement revenues to cities.

A parking management system that facilitates motorist guidance, payment, violation detection, and enforcement using highly accurate space occupancy detection, unique vehicle identification, guidance displays, payment acceptance, violation detection, enforcement data generation, electronic booting, and towing management is described. The system enables reduced time to find parking, congestion mitigation, accurate violation detection, and easier enforcement, and increased payment and enforcement revenues to cities.

Provided is a signal processing device capable of distinguishing and measuring a plurality of measurement targets even with simple configuration. The signal processing device including a reception processing unit that receives a response to a predetermined signal transmitted from a transmission antenna, and a determination unit that determines the plurality of measurement targets by a response to a plurality of signals corresponding to a second direction having a predetermined range different from a first direction having a predetermined range.

Aspects of the disclosure are directed to apparatuses, systems and methods for radar processing. As may be implemented in accordance with one or more aspects herein, an apparatus may include receiver circuitry to receive and sample radar signals reflected from a target, and processing circuitry to carry out the following. Representations of the reflections are transformed into the time-frequency domain where they are oversampled. The oversampled representations of the reflections are inversely transformed to provide resampled reflections. Positional characteristics of the target may then be ascertained by constructing a range response characterizing the target based on the resampled reflections.

Apparatus and associated methods relate to using a plurality of antennas radially distributed about a rotatable turret to sequentially scan a field of view. Each of the plurality of antennas directs an electromagnetic beam and senses its reflection along a principal direction defined by a roll position of the rotatable turret and an azimuthal beam angle. The principal directions of the antennas have a unique azimuthal beam angle relative to a boresight (i.e., axis of rotation). As the turret rotates, each of these antennas is sequentially turned on at a first roll position and off at a second roll position. This enables electromagnetic beams generated by the antennas to pan a scene both in azimuth and roll. An image processor then determines, based on the reflected signals received by the plurality of antennas, directions to and/or velocities of objects within the scanned field of view.

Upon each new detection, called pivot detection, by a radar system, the method includes the steps consisting of: grouping together, with the pivot detection, grouped detections, defined as detections that belong to a sweep preceding the sweep of the pivot detection and that have a non-nil probability according to a grouping criterion; filtering the grouped detections so as to keep only detections that are kinematically strictly coherent with the pivot detection, by: initializing a histogram, each dimension of which is a temporal variation of a coordinate measured by the radar system; computing a potential value interval for each coordinate of the pivot detection and each grouped detection; computing a minimum temporal variation and a maximum temporal variation for the or each coordinate from potential value intervals of the pivot detection and each grouped detection; incrementing the set of classes of the histogram whose index along each dimension is located between the computed minimum and maximum temporal variations; and detecting a target once at least one class of the histogram reaches a predefined value.

A method for close-range detection, includes transmitting, via a radar transceiver, radar signals to detect an object. The method also includes determining whether the object includes a pattern code based on reflections of the radar signals received by the radar transceiver. In response to determining that the object includes the pattern code, the method includes identifying range information about a range between the electronic device and the pattern code. The method further includes selecting, based on the range information, one or more signals from the reflections of the radar signals that are reflected off of the pattern code. Additionally, the method includes identifying, based on the one or more signals, information about the pattern code.

A method for close-range detection, includes transmitting, via a radar transceiver, radar signals to detect an object. The method also includes determining whether the object includes a pattern code based on reflections of the radar signals received by the radar transceiver. In response to determining that the object includes the pattern code, the method includes identifying range information about a range between the electronic device and the pattern code. The method further includes selecting, based on the range information, one or more signals from the reflections of the radar signals that are reflected off of the pattern code. Additionally, the method includes identifying, based on the one or more signals, information about the pattern code.

The method serves to determine an operational geographical zone (ZO) relative to a sensor (S) configured to observe and measure the radial speed of an object traveling with a non-zero minimum speed “VT” in a region of interest (ROI). The method comprises: a step of simulating the position of said sensor (s); a step of determining a first zone (Al) of the region of interest constituted by points at each of which said object at that point traveling at a speed greater than or equal to said speed VT and in a given direction “DT”, would be seen by said sensor (S) as having a radial speed greater than a threshold speed defined for that point; and the operational geographical zone (ZO) being defined by taking account of the intersection of the first zone (Al) and of a coverage zone (A2) of the sensor.