A system for tracking a drone includes a device where a human designates a drone as a target drone and a second autonomous intercept drone having an on-board sensor to track the target drone and self pilots to the location of the target drone

An optoelectronic sensor for detecting an object in a monitored zone having at least one light source for transmitting transmitted light, a light receiver having a reception optics arranged upstream for generating received signals from light beams remitted at the object, and a control and evaluation unit for acquiring information on the object from the received signals has a beam splitter arrangement arranged downstream of the light source for splitting the transmitted light into a plurality of transmitted light beams separated from one another, wherein the beam splitter arrangement includes a plurality of switchable beam splitters for splitting the transmitted light.

An optoelectronic sensor for detecting an object in a monitored zone having at least one light source for transmitting transmitted light, a light receiver having a reception optics arranged upstream for generating received signals from light beams remitted at the object, and a control and evaluation unit for acquiring information on the object from the received signals has a beam splitter arrangement arranged downstream of the light source for splitting the transmitted light into a plurality of transmitted light beams separated from one another, wherein the beam splitter arrangement includes a plurality of switchable beam splitters for splitting the transmitted light.

Aspects of the disclosed subject matter involve an airborne-based network for implementing a laser-based visual disruption countermeasure scan pattern system, method, and computer program product. The scan pattern can be comprised of a plurality of lasers each with their own scan pattern and may be used to disrupt an optical system of a weapon or an individual. One vehicle in the network can transmit target information and/or scan information to one or more other vehicles or to a non-vehicle remote location in the network.

Aspects of the disclosed subject matter involve an airborne-based network for implementing a laser-based visual disruption countermeasure scan pattern system, method, and computer program product. The scan pattern can be comprised of a plurality of lasers each with their own scan pattern and may be used to disrupt an optical system of a weapon or an individual. One vehicle in the network can transmit target information and/or scan information to one or more other vehicles or to a non-vehicle remote location in the network.

An apparatus for combining electro-optical infrared threat warning, and proactive and reactive countermeasures includes a laser which generates a laser beam. A tracking module is included in the apparatus which scans a field of regard with the laser beam and collects threat signals generated from objects of interest. A passive warning module observes the threat signals in the field of regard and generates passive warning operational signals. A proactive module also observes the threat signals in the field of regard with the laser beam and generates proactive operational signals. A reactive module directs the laser beam at the objects of interest in said field of regard, and generates reactive operational signals. The modules exchange the operational signals therebetween and with the laser and the tracking module to at least monitor the objects of interest.

An apparatus for combining electro-optical infrared threat warning, and proactive and reactive countermeasures includes a laser which generates a laser beam. A tracking module is included in the apparatus which scans a field of regard with the laser beam and collects threat signals generated from objects of interest. A passive warning module observes the threat signals in the field of regard and generates passive warning operational signals. A proactive module also observes the threat signals in the field of regard with the laser beam and generates proactive operational signals. A reactive module directs the laser beam at the objects of interest in said field of regard, and generates reactive operational signals. The modules exchange the operational signals therebetween and with the laser and the tracking module to at least monitor the objects of interest.

A method and device for determining the distance between an airborne receiver and a stationary ground transmitter are disclosed. A digital terrain model is implemented to determine a range of distance values containing the transmitter. A receiver distance is found and, with the range of values, a plurality of theoretical distances is calculated, to each of which a corresponding azimuth angle and elevation angle are associated. The thus calculated azimuth and elevation angles are compared to the measured azimuth and elevation angles of the line of sight under which the receiver observes the transmitter.

A SLAM device (200) performs SLAM using first three-dimensional point cloud data based on measurement point cloud data from a LiDAR sensor (101). The SLAM device recognizes a feature object in an image indicated in image data from a camera (102), and calculates a relative distance from the camera to the feature object. The SLAM device superimposes a three-dimensional point cloud indicated in second three-dimensional point cloud data based on the image data onto the generated map so as to calculate a comparative distance from an estimated location on the map to the feature object, and when a difference between the comparative distance and the relative distance is a value outside an allowable range, performs interpolation for the SLAM using the second three-dimensional point cloud data.

A SLAM device (200) performs SLAM using first three-dimensional point cloud data based on measurement point cloud data from a LiDAR sensor (101). The SLAM device recognizes a feature object in an image indicated in image data from a camera (102), and calculates a relative distance from the camera to the feature object. The SLAM device superimposes a three-dimensional point cloud indicated in second three-dimensional point cloud data based on the image data onto the generated map so as to calculate a comparative distance from an estimated location on the map to the feature object, and when a difference between the comparative distance and the relative distance is a value outside an allowable range, performs interpolation for the SLAM using the second three-dimensional point cloud data.