A radar system including a transmit antenna for transmitting a radio frequency (RF) signal or a radar signal and a receive antenna for receiving a plurality of reflected signals created by a plurality of targets reflecting the RF signal or radar signal. The reflected signals include noise. The radar system also includes an analog-to-digital converter (ADC) that digitizes or samples the reflected signals to provide a digitized or sampled noisy input signal. The radar system further includes a reservoir computer that receives the noisy input signal. The reservoir computer includes a time-varying reservoir and is configured to de-noise the noisy input signal and provide a range measurement for each of the plurality of targets.

A signal processing apparatus including a first position calculation unit that calculates a three-dimensional position of a target on a first coordinate system from a stereo image captured by a stereo camera, a second position calculation unit that calculates a three-dimensional position of the target on a second coordinate system from a sensor signal of a sensor capable of obtaining position information of at least one of a lateral direction and a longitudinal direction and position information of a depth direction, a correspondence detection unit that detects a correspondence relationship between the target on the first coordinate system and the target on the second coordinate system, and a positional relationship information estimating unit that estimates positional relationship information of the first coordinate system and the second coordinate system on the basis of the detected correspondence relationship.

A vehicle surrounding information acquiring apparatus includes: a radar detector configured to detect an object around a vehicle by radio waves; a lidar detector configured to detect an object around the vehicle by light; and an image detector configured to capture a periphery of the vehicle and detect an object from the captured image. The apparatus comprises: a first processor configured to generate target information by combining a detection result of the radar detector and a detection result of the image detector; a second processor configured to generate target information by combining a detection result of the lidar detector and the detection result of the image detector; and a third processor configured to generate target information of the periphery of the vehicle by integrating the target information generated by the first processor and the target information generated by the second processor.

A computer-implemented method for determining a position of a vehicle is disclosed, wherein the vehicle is equipped with a sensor for capturing scans of a vicinity of the vehicle, wherein the method comprises at least the following steps carried out by computer-hardware components: capturing at least one scan by means of the sensor with a plurality of sensor data samples given in a sensor data representation; determining, from a database, a predefined map with at least one element is given in a map data representation; determining a transformed map by transforming the at least one element of the predefined map from the map data representation into the sensor data representation; matching at least a subset of the sensor data samples of the at least one scan and the at least one element of the transformed map; and determining the position of the vehicle based on the matching.

The present invention discloses a radar target spherical projection method for maritime formation. The method comprises the steps of converting the height of a radar target into an altitude and converting the position of the radar target into a spherical position, can be used for pre-processing radar data, supports multi-platform composite tracking based on a data chain, and contribute to generating a sharable single integrated picture (SIP) among formation members. The present invention can be widely applied to oceanic area formation operations such as coastguard patrol, sea escort, deep sea far sighting and maritime formation fight.

A method and a device for detecting a road boundary are provided. The method includes: sending, at a current detection moment, multiple detection beams to a road where a target vehicle is located by using a detection device installed on the target vehicle; obtaining echo signals of the detection beams reflected by the road; determining target coordinates of detection points on the road corresponding to the detection beams in the same coordinate system based on the echo signals of the detection beams; and determining a road boundary on the road based on the target coordinates of the detection points.

A path providing device for providing a route to a vehicle includes a first communication module configured to receive a high-definition (HD) map information from an external server, a second communication module configured to receive external information generated by an external device located within a predetermined range from the vehicle, and a processor configured to generate forward path information for guiding the vehicle based on the HD map and provide the forward path information to at least one of electric components provided in the vehicle. The processor is configured to generate dynamic information related to an object to be sensed by the at least one of the electric components based on the external information and to match the dynamic information to the forward path information.

Techniques are disclosed for systems and methods to provide remote sensing imagery for mobile structures. A remote sensing imagery system includes a remote sensing assembly with a housing mounted to a mobile structure and a coupled logic device. The logic device is configured to receive radar returns corresponding to a detected target from the radar assembly, determine a target radial speed corresponding to the detected target, determine an adaptive target speed threshold, and then generate remote sensor image data based on the remote sensor returns, the target radial speed, and the adaptive target speed threshold. Subsequent user input and/or the sensor data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

To provide a precipitation particle classification apparatus for obtaining a proper classification result of precipitation particles based on information from a plurality of radar devices. The precipitation particle classification apparatus includes a data processing part, a fuzzy processing part, a coordinate conversion part, an interpolation part, and a classification part. The data processing part acquires polarization parameters obtained by reflection on the precipitation particles from each of the plurality of radar devices which are arranged at different positions and have a part of a scanning area overlapping with each other. The fuzzy processing part obtains a polar coordinate distribution evaluation value indicating the distribution in polar coordinates of an evaluation value indicating the degree of attribution to each type of precipitation particles from polarization parameters by using a fuzzy inference. The coordinate conversion part converts the polar coordinate distribution evaluation value into the Cartesian coordinate distribution evaluation value. The interpolation part integrates the Cartesian coordinate distribution evaluation values whose positions on the coordinates are substantially equal among the Cartesian coordinate distribution evaluation values obtained for each of the plurality of radar devices to obtain a composite evaluation value. The classification part classifies precipitation particle species based on the composite evaluation value.

A vehicle surrounding information acquiring apparatus acquires information of surroundings of a vehicle by using radar detectors configured to detect an object around the vehicle by radio waves, and lidar detectors configured to detect an object around the vehicle by light. The radar detectors are arranged one by one at four corners of the vehicle and one at a center on one side of the vehicle, and the lidar detectors are arranged one by one inside arrangement positions of the radar detectors in a vehicle width direction at respective corner portions on one side of the vehicle, one by one outside the arrangement positions of the radar detectors in the vehicle width direction at respective side portions on the other side of the vehicle, and one at a center on the other side of the vehicle.