This invention relates in general to the field of safety devices, and more particularly, but not by way of limitation, to systems and methods for providing advanced warning and risk evasion when hazardous conditions exist. In one embodiment, a vicinity monitoring unit is provided for monitoring, for example, oncoming traffic near a construction zone. In some embodiments, the vicinity monitoring unit may be mounted onto a construction vehicle to monitor nearby traffic and send a warning signal if hazardous conditions exist. In some embodiments, personnel tracking units may be worn by construction workers and the personnel tracking units may be in communication with the vicinity monitoring unit. In some embodiments, a base station is provided for monitoring activities taking place in or near a construction site including monitoring the locations of various personnel and vehicles within the construction site.

A system and method for on-wing test of an aircraft transponder involves configuring a self-test feature to the transponder's corresponding onboard ACAS to verify the on-board transponder system conforms to each of a plurality of required tests of an aviation oversight authority standard for operation. Once this test is initiated, the ACAS initiates this transponder test interrogating the transponder via a low power signal causing the transponder to reply accordingly. The ACAS performs each required test to ensure proper transponder function and alerts a user with a failure indication and stores each result should the transponder fail any of the plurality of tests.

A system for infrastructure system calibration includes a sensor configured to be mounted to an infrastructure component and configured to detect an object. A corner reflector has an optical pattern and is arranged within a field of view of the sensor. The corner reflector has three surfaces that meet at a point.

A traffic radar system comprises a first radar transceiver, a second radar transceiver, a speed determining element, and a processing element. The first radar transceiver transmits and receives radar beams and generates a first electronic signal corresponding to the received radar beam. The second radar transceiver transmits and receives radar beams and generates a second electronic signal corresponding to the received radar beam. The speed determining element determines and outputs a speed of the patrol vehicle. The processing element is configured to receive a plurality of digital data samples derived from the first or second electronic signals, receive the speed of the patrol vehicle, process the digital data samples to determine a relative speed of at least one target vehicle in the front zone or the rear zone, and convert the relative speed of the target vehicle to an absolute speed using the speed of the patrol vehicle.

A radar target simulator front end, configured to simulate at least one radar target for testing a radar device under test is provided. The radar target simulator front end comprises at least two antenna units, arranged along a first angle under investigation. The at least two antenna units are configured to be selectively activated and deactivated. Whereby each antenna unit of the at least two antenna units generates a simulated radar target along the first angle under investigation, when activated.

A flight vehicle includes a drone with a pair of shaped protrusions mechanically coupled to the drone. One of the shapes is a hollow lift-producing shape, such as being a balloon filed with a lighter-than-air gas, and the other of the shapes is below the drone. The shape below the drone may be a hollow shape that does not produce lift, for example being a balloon filled with air. The shapes may be similar in size and shape, so as to provide similar drag characteristics. The shapes may be opposite ends of a support, such as a stick, rod, or other (relatively) slender structure. The vehicle includes a payload, such as radar calibration equipment or an antenna. The drone may be used to counteract wind forces on the flight vehicle, and/or to otherwise position the flight vehicle.

The disclosure relates to a simulation device for motor vehicle monitoring, wherein a radar sensor (2) and a camera sensor (3) and a LiDAR light receiving sensor (1) and a computer (4) are present, wherein the radar sensor (2) can be controlled via a radar signal transmitter, and the camera sensor (3) can be controlled via a lens, and the LiDAR light receiving sensor (1) can be controlled via a light transmitter.

A method for testing sensing effect, a moving apparatus, an electronic device, a storage medium, and a system for testing a sensing effect are provided, and relate to the field of intelligent vehicles. The method includes: controlling a moving apparatus to move within a preset range of a vehicle in accordance with a preset route, wherein the moving apparatus carries at least one type of sensing target, and a sensing device to be tested is installed on the vehicle; generating true reference data according to movement data of the movement apparatus and sensing target information on the sensing target; acquiring sensing result data of the sensing target, generated by the sensing device to be tested; and testing the sensing effect of the sensing device to be tested according to the true reference data and the sensing result data.

A method for calibrating a target simulator for an active environment detection system includes: calibrating a complete signal path comprising a first signal path and a second signal path by determining a first deviation of a first value of at least one signal parameter from a first reference value of the at least one signal parameter; calibrating one of the first signal path and the second signal path by determining a second deviation of a second value of the at least one signal parameter from a second reference value of the at least one signal parameter; and calibrating the other of the first signal path and the second signal path by offsetting of the first deviation with the second deviation.

This document describes techniques and systems for enabling more-accurate single-point radar cross section (RCS) approaches for radar simulations without introducing orders of complexity. For automotive radar applications, considering variations in RCS radial patterns, with both angle and range, and because of analytically calculated multi-path effects and near-field RCS effects improves simulation accuracy by incorporating multi-path phenomenon that is present due to ground reflections. The described techniques are performed without using full scale ray-tracing or other computationally demanding techniques.