G01S13/881

Object recognition method using radar, object recognition system, and method of updating primary classifier in object recognition system
11614515 · 2023-03-28 · ·

An object recognition method includes generating a first frequency domain signal according to a first echo signal, updating at least one parameter of a primary classifier according to the first frequency domain signal and a training target corresponding to the first frequency domain signal, generating a second frequency domain signal according to a second echo signal, and generating object classification data corresponding to the second frequency domain signal according to the second frequency domain signal and the at least one parameter of the primary classifier. The object classification data is associated with presence of a second object.

DETERMINING RELEVANT SIGNALS USING MULTI-DIMENSIONAL RADAR SIGNALS
20230079979 · 2023-03-16 ·

A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

Distance detection method and device for cleaning robot, and cleaning robot
11474526 · 2022-10-18 ·

Provided are distance detection method and device for a cleaning robot, a cleaning robot, an electronic device and a non-transitory computer readable storage medium. The method includes: acquiring detection data of an obstacle detector of the cleaning robot, determining, according to the detection data, whether a distance between the cleaning robot and an obstacle reaches a first distance, where the first distance is a distance between the cleaning robot and the obstacle at a moment when a changing trend of the detection data fits a pre-set changing trend. In the embodiments of the present disclosure, whether the cleaning robot is moving to a specific position a certain distance away from the obstacle may be detected precisely. As the specific position is determined precisely, collision with obstacles can be avoided efficiently for the cleaning robot during working, and thus the distance detection method for the cleaning robot is improved.

Radar system for controlling accesses to an environment

A radar system controls accesses to an environment where a machinery can be present. Radar devices are placed along an access path to the environment. The radar devices check the presence of targets in passage regions, arranged to be sequentially met along the access path. A control unit has stored predetermined ordered entry and exit sequences of events, given by changes of the passage regions between occupied and clear. If the registered sequence matches the entry sequence, that is the passage regions are occupied in the correct order, the environment is classified as occupied, and the machinery stops working. The machinery restarts when the environment is classified again as clear, based on the registered sequence matching the exit sequence, that is the passage regions being cleared in order.

Method of protecting humans in an environment of a moving machine
11465283 · 2022-10-11 · ·

A method of protecting humans in an environment of a moving machine is provided that comprises the environment being monitored by means of a protective device that is configured to detect one or more kinematic parameters of a respective object located in the environment and controlling the moving machine in dependence on detected kinematic parameters of the respective object to initiate a protective measure. The protective equipment here detects the polarization properties and a movement modulation of the respective object in dependence on which the respective object is classified with respect to whether the respective object is a human. In particular only when the respective object was classified as a human, the protective equipment controls the moving machine to initiate the protective measure in dependence on detected kinematic parameters of this respective object.

SYSTEM AND METHOD FOR AUTOMATED EXTRINSIC CALIBRATION OF LIDARS, CAMERAS, RADARS AND ULTRASONIC SENSORS ON VEHICLES AND ROBOTS
20230145082 · 2023-05-11 ·

A sensor calibration system for calibrating a sensor system associated with a device under test and methods for making and using same. The sensor calibration system can include a turntable system for supporting and rotating the device under test relative to at least one calibration target system and one or more imaging systems distributed about a periphery of the turntable system. The calibration target system can comprise a calibration target device with calibration indicia and a calibration target positioning system for positioning the calibration target device relative to the sensor system; whereas, the imaging systems can capture an image of the device under test as the turntable system rotates the device under test. In selected embodiments, the calibration target system advantageously can calibrate sensor systems that support one or more Advanced Driver Assistance (ADAS) and Autonomous Vehicle (AV) applications when the sensor systems are associated with a passenger vehicle.

DETECTION OF RADIAL DEFORMATIONS OF TRANSFORMERS

A method for detecting radial deformation in a winding of a transformer may include synthetic aperture radar (SAR) imaging of the winding using ultra high frequency (UHF) electromagnetic signals in a first instance of the winding to obtain a first image of the winding; SAR imaging of the winding using UHF electromagnetic signals in a second instance of the winding to obtain a second image of the winding; and comparing the first image of the winding and the second image of the winding to detect a radial deformation in the winding. The UHF electromagnetic signals may be transmitted as a plurality of successive sinusoidal signals, where frequencies of the successive sinusoidal signals gradually change from a first frequency to a second frequency.

Autonomous mobile cleaning robot

According to a first aspect of the present inventive concept there is provided an autonomous mobile cleaning robot, comprising: a radar sensor configured to scan a surface, during a movement of the robot along the surface, by transmitting radar signals towards the surface and acquiring, at different positions along said movement, radar responses from the surface, a radar signal processor configured to extract one or more features of each acquired radar response from the surface, and a controller configured to control an operation of the robot based on the extracted one or more features.

NON-LINE OF SIGHT OBSTACLE DETECTION AND LOCALIZATION
20170287334 · 2017-10-05 ·

A non-line of sight obstacle detection and localization system and method of detecting and localizing a non-line of sight object include receiving reflections at a detection system of a moveable platform, the reflections including direct and multipath reflections, identifying the reflections associated with static targets to retain the reflections associated with moving targets, and distinguishing between line of sight objects and non-line of sight objects among the moving targets. The method also includes localizing the non-line of sight objects relative to the platform and indicating approaching non-line of sight objects among the non-line of sight objects, the approaching non-line of sight objects moving toward the platform on a path that intersects the platform.

Moving device and object detection method thereof

A moving device and an object detection method thereof are provided. A method, performed by a moving device, of generating a map related to an object in a task space includes radiating at least one sensing signal toward aboveground and underground regions in a vicinity of the moving device, receiving signals reflected from an aboveground object located on a ground in the task space and an underground object located under the ground in the task space, and generating the map indicating distribution of the aboveground object and distribution of the underground object, based on the received reflected signals.