A method for detecting unmanned aerial vehicles (UAV) includes detecting an unknown flying object in a monitored zone of air space. An image of the detected unknown flying object is captured. The captured image is analyzed to classify the detected unknown flying object. A determination is made, based on the analyzed image, whether the detected unknown flying object comprises a UAV.

A light detection and ranging system includes synchronously scanning transmit and receive mirrors that scan a pulsed fanned laser beam in two dimensions. Imaging optics image a receive aperture onto an arrayed receiver that includes a plurality of light sensitive devices. A phase offset may be injected into a scanning trajectory to mitigate effects of interfering light sources.

A non-imaging concentrator is employed in an upside down configuration in which light enters a smaller aperture and exits a larger aperture. The input angle of light rays may be as large as 180 degrees, while the maximum exit angle is limited to the acceptance angle of the non-imaging concentrator. A dichroic filter placed at the larger aperture has a maximum angle of incidence equal to the acceptance angle of the non-imaging concentrator.

A surveying data processing device includes a point cloud data acquiring unit, a three-dimensional model acquiring unit, a first correspondence relationship determining unit, an extended three-dimensional data generating unit, and a second correspondence relationship determining unit. The point cloud data acquiring unit acquires first point cloud data obtained by laser scanning, at a first viewpoint, and acquires second point cloud data obtained by laser scanning, at a second viewpoint. The three-dimensional model acquiring unit acquires data of a three-dimensional model. The first correspondence relationship determining unit obtains a correspondence relationship between the first point cloud data and the three-dimensional model. The extended three-dimensional data generating unit generates extended three-dimensional data in which the first point cloud data is extended, on the basis of the correspondence relationship. The second correspondence relationship determining unit determines a correspondence relationship between the extended three-dimensional data and the second point cloud data.

An interaction peripheral, a method for detecting a real point, a virtual reality headset, a method for reproducing a real point in virtual space, a device and a method for virtualising a real space, particularly allowing a plane to be obtained in two, three or n dimensions of a real space which may be reproducible in virtual reality. An interaction peripheral which can be connected to a virtual reality headset, includes a range finder which can supply, to the headset, a measurement signal including a relative position measurement of a real point of a real space, the real point being sighted by the range finder. The measurement signal enables reproduction of the real point measured in a virtual space generated by the headset. Thus, the real point can be reproduced in real space while reducing risks of errors because the measurement tools are simple interaction peripherals handled by a user.

An interaction peripheral, a method for detecting a real point, a virtual reality headset, a method for reproducing a real point in virtual space, a device and a method for virtualising a real space, particularly allowing a plane to be obtained in two, three or n dimensions of a real space which may be reproducible in virtual reality. An interaction peripheral which can be connected to a virtual reality headset, includes a range finder which can supply, to the headset, a measurement signal including a relative position measurement of a real point of a real space, the real point being sighted by the range finder. The measurement signal enables reproduction of the real point measured in a virtual space generated by the headset. Thus, the real point can be reproduced in real space while reducing risks of errors because the measurement tools are simple interaction peripherals handled by a user.

A method for processing data provided by a lidar. Obtaining, for measurement points of a lidar, data representative of a diffuse intensity and a distance between the measurement point and the lidar; determining an angle of incidence of the lidar at each measurement point; calculating, for each measurement point, reflectivity from the angle of incidence, the distance and the diffuse intensity; identifying spatially adjacent measurement points having a reflectivity within a given range of values to form common reflectivity zones; defining a cost function for at least one common reflectivity zone, the cost function including a first diffuse intensity and a second diffuse intensity, the angle and the distance of the measurement point in question; minimizing the cost function in order to update at least one of the angle, the distance and the reflectivity at the measurement point, for each of the measurement points belonging to a common reflectivity zone.

An optical scanning device includes an optical mode converter to change, in accordance with a change in wavelength of a light output from a light source or phase of the light output from the light source, a radiation direction of the light, and an actuator to rotate the optical mode converter about each of two shafts orthogonal to each other.

A system includes a light source, a receiver, and an enclosure. The light source is configured to emit an optical signal and the receiver is configured to detect a received optical signal including at least a portion of the emitted optical signal scattered by an external target. The enclosure includes a housing and a semiconductor window. The semiconductor window includes a semiconductor material configured to allow at least a portion of the emitted optical signal and the received optical signal to pass through the semiconductor window. The enclosure, including the housing and the semiconductor window, is configured to attenuate radio-frequency (RF) electromagnetic radiation.

A computer-implemented method comprises: generating first output using a first sensor of a vehicle comprising an infrared camera or an event-based sensor, the first output indicating a portion of surroundings of the vehicle; providing the first output to a LiDAR of the vehicle having a field of view (FOV); configuring a resolution of the LiDAR based at least in part on the first output; generating a representation of at least part of the surroundings of the vehicle using the LiDAR; providing, to a perception component of the vehicle, second output of a second sensor of the vehicle and third output of the LiDAR, the perception component configured to perform object detection, sensor fusion, and object tracking regarding the second and third outputs, wherein the first output bypasses at least part of the perception component; and performing motion control of the vehicle using a fourth output of the perception component.