An electromagnetic non-line-of-sight imaging method based on time reversal and compressed sensing is provided. The electromagnetic signal passively scattered by the target behind the obstacle is received by the antenna, the contour imaging of the target is realized by using compressed sensing, the signal-to-noise ratio of the electromagnetic signal of the target is improved by using time reversal for the contour area, so as to achieve the purpose of staring at and detecting the non-line-of-sight target; a random radiation signal is transmitted for multiple times through active metasurface modulation, compressed sensing is performed for calculation imaging after receiving the signal to judge the number of targets and the contour area in the occluded area; for the target contour area, the amplitude and phase of signals obtained at different positions are adjusted by the active metasurface, so as to focus and scan the electromagnetic signals at different positions behind the obstacle. The method can detect the target in the unsealed scene behind the wall and the metal structure (3) which cannot be penetrated by electromagnetic signals, and expand the detection capability of the traditional detection and imaging radar.

An electromagnetic non-line-of-sight imaging method based on time reversal and compressed sensing is provided. The electromagnetic signal passively scattered by the target behind the obstacle is received by the antenna, the contour imaging of the target is realized by using compressed sensing, the signal-to-noise ratio of the electromagnetic signal of the target is improved by using time reversal for the contour area, so as to achieve the purpose of staring at and detecting the non-line-of-sight target; a random radiation signal is transmitted for multiple times through active metasurface modulation, compressed sensing is performed for calculation imaging after receiving the signal to judge the number of targets and the contour area in the occluded area; for the target contour area, the amplitude and phase of signals obtained at different positions are adjusted by the active metasurface, so as to focus and scan the electromagnetic signals at different positions behind the obstacle. The method can detect the target in the unsealed scene behind the wall and the metal structure (3) which cannot be penetrated by electromagnetic signals, and expand the detection capability of the traditional detection and imaging radar.

This application relates to the field of automobile diagnosis technologies, and discloses a method and apparatus for remotely calibrating an advanced driver assistance system (ADAS), and a computer device. A diagnosis device may establish a remote connection to a client to directly remotely calibrate the ADAS of an automobile without the limitation of a distance. Therefore, a repair factory does not need to purchase diagnosis devices for all vehicle models. Instead, the diagnosis device can remotely calibrate the ADAS for the automobiles in the repair factory. In this way, the operation costs of the repair factory are greatly reduced. By means of the remote connection established between the client and the diagnosis device, the application of the diagnosis device is no longer limited to a specific area. Instead, the diagnosis device is applicable to any place where a remote connection can be established.

Techniques are disclosed for systems and methods to provide visually correlated radar imagery for mobile structures. A visually correlated radar imagery system includes a radar system, an imaging device, and a logic device configured to communicate with the radar system and imaging device. The radar system is adapted to be mounted to a mobile structure, and the imaging device may include an imager position and/or orientation sensor (IPOS). The logic device is configured to determine a horizontal field of view (FOV) of image data captured by the imaging device and to render radar data that is visually or spatially correlated to the image data based, at least in part, on the determined horizontal FOV. Subsequent user input and/or the sonar data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

A radar monitoring system and a radar monitoring method for monitoring a traffic control zone involve installing two radars near the traffic control zone so that the radars emit radar waves covering the traffic control zone and serve as backups for each other; locating any object in the traffic control zone as a coordinate point with respect to a set of X and Y coordinate axes, and subjecting the X and Y coordinate axes of the two radars to axial normalization, so that an identical object in the traffic control zone is located by the first radar and the second radar at approximately the same coordinate point. An alert area is defined in the traffic control zone and an excluded area around a resident facility in the traffic control zone is excluded from the alert area. When an object in the alert area is determined as an obstacle, an alert is triggered.

A radar monitoring system and a radar monitoring method for monitoring a traffic control zone involve installing two radars near the traffic control zone so that the radars emit radar waves covering the traffic control zone and serve as backups for each other; locating any object in the traffic control zone as a coordinate point with respect to a set of X and Y coordinate axes, and subjecting the X and Y coordinate axes of the two radars to axial normalization, so that an identical object in the traffic control zone is located by the first radar and the second radar at approximately the same coordinate point. An alert area is defined in the traffic control zone and an excluded area around a resident facility in the traffic control zone is excluded from the alert area. When an object in the alert area is determined as an obstacle, an alert is triggered.

A vehicular forward-sensing system includes a radar sensor and a forward viewing image sensor disposed within a windshield electronics module that is removably installed within an interior cabin at a windshield of a vehicle. A control is responsive to outputs of the radar sensor and of the image sensor. The image sensor captures image data for an automatic headlamp control system of the vehicle and for a lane departure warning system of the vehicle. The image sensor views and the radar sensor senses an object present in the path of forward travel of the vehicle. The control determines that the object is an object of interest based at least in part on the image sensor viewing the object present in the path of forward travel of the vehicle and the radar sensor sensing the object present in the path of forward travel of the vehicle.

A vehicular forward-sensing system includes a radar sensor and a forward viewing image sensor disposed within a windshield electronics module that is removably installed within an interior cabin at a windshield of a vehicle. A control is responsive to outputs of the radar sensor and of the image sensor. The image sensor captures image data for an automatic headlamp control system of the vehicle and for a lane departure warning system of the vehicle. The image sensor views and the radar sensor senses an object present in the path of forward travel of the vehicle. The control determines that the object is an object of interest based at least in part on the image sensor viewing the object present in the path of forward travel of the vehicle and the radar sensor sensing the object present in the path of forward travel of the vehicle.

An obstacle recognition device includes: a first sensor and a second sensor, which are configured to detect an object near a vehicle; a calculation unit configured to calculate, based on first detection data on a first object detected by the first sensor and second detection data on a second object detected by the second sensor, an index value for identifying whether the two objects are the same object; a determination unit configured to determine whether the two objects are the same object by comparing the index value with a threshold value set in advance; and a correction unit configured to calculate, when the determination unit has determined that the two objects are the same object, a detection error between the two sensors based on the two detection data, and generate corrected detection data so as to remove the detection error.

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.