A method of collision warning using broad antenna pattern ultra-wide band (UWB) radar includes emitting a first radar ping from a broad beam UWB antenna and receiving a first return signal identifying an object. A first hemisphere with a first radius is determined for the object. A second ping, second return and second hemisphere is defined for the object. At the intersection of the hemispheres, an object ring is defined. The radius of the object ring is compared with the radius of a collision cylinder (e.g., representing a safe distance around a system or device, such as a drone). The object may be identified as posing a collision threat when the radius of the object ring is smaller than the radius of the collision cylinder.

Radar measuring device including: a first generator of a first periodic radar signal whose frequency varies linearly, over at least one portion T.sub.ramp of a period T.sub.in, in a frequency band B; a transmit antenna coupled to an output of the first generator and configured to transmit the first radar signal; a second generator of a second periodic radar signal whose frequency varies linearly, over said portion T.sub.ramp of the period T.sub.in, in the frequency band B, which is generated with the same start-up phase as the first radar signal and having, relative to the first radar signal, a configurable delay τ.sub.mix; a receive antenna configured to receive at least one echo of the first radar signal; a mixer comprising a first input coupled to the receive antenna and a second input coupled to an output of the second generator.

Systems, methods, and non-transitory computer readable media may be configured to calibrate sensor measurements based on detection of brake light. Acceleration information of a first vehicle may be obtained. The acceleration information may define an acceleration probability distribution of the first vehicle. Image information may be obtained. The image information may define an image of the first vehicle. Whether a brake light of the first vehicle is on or off may be determined based on the image of the first vehicle. Based on a determination that the brake light of the first vehicle is on, a calibrated acceleration probability distribution of the first vehicle may be generated based on the acceleration probability distribution of the first vehicle and a braking-calibration curve.

In accordance with an embodiment, a computer-implemented method includes obtaining a time sequence of measurement frames of a radar measurement of a scene comprising an object; based on multiple subsequent measurement frames of the time sequence of measurement frames, determining one or more one-dimensional (1-D) time series of respective observables of the radar measurement associated with the object; and based on the one or more 1-D time series, determining a motion class of a motion performed by the object using a classification algorithm

To track an object with radar, and achieve greater than range resolution precision, the phase of a difference signal can be utilized and adjusted as the tracked object crosses between resolution ranges. Changes in the object's distance can be detected with greater than range resolution precision by utilizing the phase. Such changes can iteratively inform the determined distance across multiple phase cycles within a single distance range. As the movement of the object approaches, and then crosses, between resolution ranges, the phase as determined within an origin resolution range can be compared with a coincident phase within the destination resolution range and the difference can then be utilized to adjust the phase as the object then remains within the destination resolution range. Such phase adjustments can be applied across multiple resolution ranges, allowing for the tracking of an object, utilizing radar, while achieving greater than range resolution precision.

A waveform estimation device includes: tracking filter processing units 11 and 12 that execute tracking filter processing on observation values using tracking filters having different drive noises; and a filter output selection unit 14 that selects a regular waveform component predicted by the tracking filter processing unit 11, in an irregular section, and selects a regular waveform component predicted by the tracking filter processing unit 12, in a regular section. A residual processing unit 16 calculates a residual between observation values extracted by an observation value extraction unit 1, and a regular waveform component selected by the filter output selection unit 14. An irregular waveform detection unit 17 determines whether the residual is an irregular waveform component.

A radar sensing system includes at least one transmitter, at least one receiver and a processor. The at least one transmitter transmits a power shaped RF signal. The transmitted RF signal decreases in power over time. The at least one receiver receives a reflected RF signal. The reflected RF signal is the transmitted RF signal reflected from targets in the environment. The reflected RF signal is down-converted and the result provided to the processor. The processor samples the down-converted reflected RF signal during a plurality of time intervals to produce a sampled stream. The different time intervals of the plurality of time intervals will contain different signal levels of RF signals reflected from the targets. The processor also selects samples in the sampled stream over a selected time interval of the plurality of time intervals that is free of RF signals reflected off of near targets.

A radar sensing system includes at least one transmitter, at least one receiver and a processor. The at least one transmitter transmits a power shaped RF signal. The transmitted RF signal decreases in power over time. The at least one receiver receives a reflected RF signal. The reflected RF signal is the transmitted RF signal reflected from targets in the environment. The reflected RF signal is down-converted and the result provided to the processor. The processor samples the down-converted reflected RF signal during a plurality of time intervals to produce a sampled stream. The different time intervals of the plurality of time intervals will contain different signal levels of RF signals reflected from the targets. The processor also selects samples in the sampled stream over a selected time interval of the plurality of time intervals that is free of RF signals reflected off of near targets.

A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.

A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.