A radar detector (10) comprises a radar receiver (12) for receiving and characterizing the signal characteristics of a radar signal and providing one or more of radar frequency, radar intensity and radar direction to a control system (13) which comprises a neural network (42) structured in multiple layers, each layer processing signal characteristics delivered thereto to develop neural pathways associated with the distinguishing signatures of the signal characteristics provided to the neural network. The network thus distinguishes law enforcement-originated and non-law enforcement-originated radar signals in an adaptable manner that does not rely upon traditional logic programming of the detector system. Training, deployment and further learning and retraining of the neural network are described, as is the use of multiple and disparate vehicle environment and operation signals.

Disclosed are techniques for employing deep learning to analyze radar signals. In an aspect, an on-board computer of a host vehicle receives, from a radar sensor of the vehicle, a plurality of radar frames, executes a neural network on a subset of the plurality of radar frames, and detects one or more objects in the subset of the plurality of radar frames based on execution of the neural network on the subset of the plurality of radar frames. Further, techniques for transforming polar coordinates to Cartesian coordinates in a neural network are disclosed. In an aspect, a neural network receives a plurality of radar frames in polar coordinate space, a polar-to-Cartesian transformation layer of the neural network transforms the plurality of radar frames to Cartesian coordinate space, and the neural network outputs the plurality of radar frames in the Cartesian coordinate space.

Certain aspects of the present disclosure provide techniques for radar detection by an apparatus. In certain aspects a method for radar detection by an apparatus includes selecting one or more radar transmission parameters based on a reference time, wherein the reference time is common to at least a group of vehicles. The method further includes performing radar detection using the selected radar transmission parameters and the reference time.

A detection device, which detects a behavior of a vehicle in a preset detection area using a laser radar that generates point cloud information by irradiating the detection area with laser light and receiving reflected light resulting from the irradiation with the laser light, includes an acquisition unit configured to acquire the point cloud information, a vehicle detection unit configured to detect a vehicle on the basis of the point cloud information, and a behavior detection unit configured to detect a target behavior that is a vehicle behavior subjected to detection in response to the vehicle detected by the vehicle detection unit having moved from a first area to a second area, in which the first area and the second area are included in the detection area and are set according to the target behavior.

A system for detecting GNSS signal jammers to be positioned on a roadside, the system comprises: a first device for receiving a GNSS signal; a second device that is configured to measure at least one characteristic of a received GNSS signal and to detect, on the basis of at least one characteristic, interference in the GNSS signal caused by a jamming signal; a third device for triggering the capture of an image of the road if the GNSS signal is subject to interference caused by a jamming signal, the first device configured to receive, via a radio link, a sequence of a satellite radionavigation signal received by a vehicle and retransmitted by the vehicle to the system via the radio link.

In one embodiment, a police activity detector is provided. The detector includes a receiver section and a warning section. The receiver section is configured to receive signals generated in the context of law enforcement activity. The warning section is configured to respond to a pulsed signal received by the receiver section and provide an alert if a received signal correlates to a law enforcement signal. The warning section also includes a sliding window discrete Fourier transform (SWDFT) module configured to receive a plurality of time series of data corresponding to sampling a received pulsed signal at a set of sample rates corresponding to a plurality of target frequencies, perform a SWDFT determination on each of the plurality of time series of data to determine a magnitude of the received signal at each of the targeted frequencies, which reveals the presence of a received pulsed signal when the magnitude is elevated, and issue an alert if the magnitude of the received signal corresponding to at least one of the targeted frequencies is greater than or equal to a predetermined threshold.

A system for monitoring a vehicle may contain at least one image capturing device and contain a navigational system. The device may further have functionality to send data collected by the device to a server for recordation, preservation, and review.

A computing device in a vehicle can emit a sequence of light pulses having a first speed, then receive a signal from another vehicle. Following this, the computing device can emit a message as a sequence of light pulses having a second speed based on the signal received from the vehicle, wherein the first speed is different from the second speed.

An enhanced radar detector in one example displays a source direction of one more detected signals simultaneously with a frequency band of the detected signal. In another embodiment, a method detects a location of a false alert source to suppress alerts emanating from the location. A geographic location of a first mid-ship point of a detected radar signal in a vehicle traveling in a first direction are identified/recorded. The geographic location of a second mid-ship point of a detected signal is also identified/recorded in a vehicle traveling in a second different direction. The recorded geographic locations/directions of travel are uploaded to a host server, or evaluated within the radar detector, to identify a false source and mark a false source at an intersection of the first and second midlines. The marked false source location can be used in a detector and/or downloaded to multiple detectors via a social network.

Operating a police radar detector to suppress nuisance radar alerts due to received signals that are not police radar signals includes receiving electromagnetic signals; mixing received electromagnetic signals with a local oscillator signal that is swept at a constant sweep rate; and accumulating a virtual image of the signal environment represented by received electromagnetic signals. Analysis of the virtual image is performed for signals suspected of being nuisance signals that could result in nuisance radar alert so that any nuisance signals within the virtual image can be identified and ignored by the alarm portion of the police radar detector.