The present disclosure is directed at systems and methods for determining objects around a vehicle. In aspects, a system includes a sensor unit having at least one radar sensor arranged and configured to obtain radar image data of external surroundings to determine objects around a vehicle. The system further includes a processing unit adapted to process the radar image data to generate a top view image of the external surroundings of the vehicle. The top view image is configured to be displayed on a display unit and useful to indicate a relative position of the vehicle with respect to determined objects.

The present disclosure is directed at systems and methods for determining objects around a vehicle. In aspects, a system includes a sensor unit having at least one radar sensor arranged and configured to obtain radar image data of external surroundings to determine objects around a vehicle. The system further includes a processing unit adapted to process the radar image data to generate a top view image of the external surroundings of the vehicle. The top view image is configured to be displayed on a display unit and useful to indicate a relative position of the vehicle with respect to determined objects.

System and method for operating a radar system that includes a plurality of antennas, wherein a respective antenna signal is received from each of the antennas and is converted into a digital antenna signal via an analog-to-digital conversion. Digital signal data of the antennas are provided in a data memory. Signal evaluation is performed in a two-stage design, where a predetermined subset of the signal data is supplied to an evaluation module for a target detection, and resolution cells for which, the associated resolution gate meets a predetermined occupancy criterion are selected, and only the signal data available in the data memory for the selected resolution cells are selected for these resolution cells for further processing.

System and method for operating a radar system that includes a plurality of antennas, wherein a respective antenna signal is received from each of the antennas and is converted into a digital antenna signal via an analog-to-digital conversion. Digital signal data of the antennas are provided in a data memory. Signal evaluation is performed in a two-stage design, where a predetermined subset of the signal data is supplied to an evaluation module for a target detection, and resolution cells for which, the associated resolution gate meets a predetermined occupancy criterion are selected, and only the signal data available in the data memory for the selected resolution cells are selected for these resolution cells for further processing.

An imaging system for an aircraft is disclosed. A plurality of image sensors are attached, affixed, or secured to the aircraft. Each image sensor is configured to generate sensor-generated pixels based on an environment surrounding the aircraft. Each of the sensor-generated pixels is associated with respective pixel data including, position data, intensity data, time-of-acquisition data, sensor-type data, pointing angle data, latitude data, and longitude data. A controller generates a buffer image including synthetic-layer pixels, maps the sensor-generated pixels to the synthetic-layer pixels in the buffer image, fills a plurality of regions of the buffer image with the sensor-generated pixels, and presents the buffer image on a head-mounted display (HMD) to a user of the aircraft.

An imaging system for an aircraft is disclosed. A plurality of image sensors are attached, affixed, or secured to the aircraft. Each image sensor is configured to generate sensor-generated pixels based on an environment surrounding the aircraft. Each of the sensor-generated pixels is associated with respective pixel data including, position data, intensity data, time-of-acquisition data, sensor-type data, pointing angle data, latitude data, and longitude data. A controller generates a buffer image including synthetic-layer pixels, maps the sensor-generated pixels to the synthetic-layer pixels in the buffer image, fills a plurality of regions of the buffer image with the sensor-generated pixels, and presents the buffer image on a head-mounted display (HMD) to a user of the aircraft.

A super resolution system, the system including: at least one antenna; transmission electronics; receiving electronics; and receiving computing electronics, where the transmission electronics are structured to transmit a first electromagnetic wave having an Orbital Angular Momentum wave-front thru the antenna towards a target, where the transmission electronics are structured to transmit a second electromagnetic wave having a non Orbital Angular Momentum wave-front thru a first portion of the antenna towards the target, where the receiving electronics are structured to form a first signal from a first return wave of the first electromagnetic wave, where the receiving electronics are structured to form a second signal from a second return wave of the second electromagnetic wave, and where the receiving computing electronics are structured to compute target information by using at least one difference between the first signal and the second signal.

An automatic wall climbing type radar photoelectric robot system for damages of a bridge and tunnel structure, mainly including a control terminal, a wall climbing robot and a server. The wall climbing robot generates a reverse thrust by rotor systems, moves flexibly against the surface of a rough bridge and tunnel structure by adopting an omnidirectional wheel technology, and during inspection by the wall climbing robot, bridges and tunnels do not need to be closed, and the traffic is not affected. Bridges and tunnels can divide into different working regions only by arranging a plurality of UWB base stations, charging and data receiving devices on the bridge and tunnel structure by means of UWB localization, laser SLAM and IMU navigation technologies, a plurality of wall climbing robots supported to work at the same time, automatic path planning and automatic obstacle avoidance realized, and unattended regular automatic patrolling can be realized.

A method is described which includes receiving a point cloud having a plurality of data points each representing a 3D location in a 3D space, the point cloud being obtained using a detection and ranging (DAR) sensor. For each data point, associating the data point with a 3D volume containing the 3D location of the data point, the 3D volume being defined using a 3D lattice that partitions the 3D space based on spherical coordinates. For at least one 3D volume, the data points are sorted within the 3D volume based on at least one dimension of the 3D lattice; and the sorted data points are stored as a set of ordered data points. The method also includes performing feature extraction on the set of ordered data points to generate a set of ordered feature vectors and providing the set of ordered feature vectors to perform a machine learning inference task.

A method is described which includes receiving a point cloud having a plurality of data points each representing a 3D location in a 3D space, the point cloud being obtained using a detection and ranging (DAR) sensor. For each data point, associating the data point with a 3D volume containing the 3D location of the data point, the 3D volume being defined using a 3D lattice that partitions the 3D space based on spherical coordinates. For at least one 3D volume, the data points are sorted within the 3D volume based on at least one dimension of the 3D lattice; and the sorted data points are stored as a set of ordered data points. The method also includes performing feature extraction on the set of ordered data points to generate a set of ordered feature vectors and providing the set of ordered feature vectors to perform a machine learning inference task.