The present invention relates to a tracker and a surveying apparatus comprising the tracker, which improve the reliability of tracking a target. The tracker comprises a first imaging region having a plurality of pixels for taking a first image of a scene including the target; a second imaging region having a plurality of pixels for taking a second image of a scene including the target; a control unit to receive a timing signal indicating a time duration during which an illumination illuminating the target in the scene is switched on and off, control the first imaging region to take the first image of the scene when the timing signal indicates that the illumination unit is switched on, and control the second imaging region to take the second image when the illumination is switched off; and a read out unit configured to read out the first image from the first imaging region and the second image from the second imaging region and to obtain a difference image.

The present invention relates to a tracker and a surveying apparatus comprising the tracker, which improve the reliability of tracking a target. The tracker comprises a first imaging region having a plurality of pixels for taking a first image of a scene including the target; a second imaging region having a plurality of pixels for taking a second image of a scene including the target; a control unit to receive a timing signal indicating a time duration during which an illumination illuminating the target in the scene is switched on and off, control the first imaging region to take the first image of the scene when the timing signal indicates that the illumination unit is switched on, and control the second imaging region to take the second image when the illumination is switched off; and a read out unit configured to read out the first image from the first imaging region and the second image from the second imaging region and to obtain a difference image.

An object detection method using a lidar sensor of an embodiment includes determining whether a box of a target object is a box in which an overlapping object present therein can be deleted on the basis of shape information of the target object obtained by the lidar sensor, and generating a box track of the target object after removing the overlapping object according to a determination result.

An optical detector system provides beam positioning data to an optical tracking system to facilitate optical communications. The optical detector system comprises a plurality of optical photodetectors. For example, a two-by-two array may be used. Incoming light passes through one or more optical elements, such as a lens and a dispersive optical element. A first portion of the beam entering the optical elements is directed into a first spot having a first area on the array. A second portion of the beam entering the optical elements is dispersed to form a second spot having a second area on the array that is larger than the first area. This combination of first portion and second portion of the beam incident on the array provides unambiguous information in the output of the photodetectors that is indicative of a position of the incoming beam with respect to the array.

An optical detector system provides beam positioning data to an optical tracking system to facilitate optical communications. The optical detector system comprises a plurality of optical photodetectors. For example, a two-by-two array may be used. Incoming light passes through one or more optical elements, such as a lens and a dispersive optical element. A first portion of the beam entering the optical elements is directed into a first spot having a first area on the array. A second portion of the beam entering the optical elements is dispersed to form a second spot having a second area on the array that is larger than the first area. This combination of first portion and second portion of the beam incident on the array provides unambiguous information in the output of the photodetectors that is indicative of a position of the incoming beam with respect to the array.

Systems and methods for monitoring the lane of an object in an environment of an autonomous vehicle are disclosed. The methods include receiving sensor data corresponding to the object, and assigning an instantaneous probability to each of a plurality of lanes based on the sensor data as a measure of likelihood that the object is in that lane at a current time. The methods also include generating a transition matrix for each of the plurality of lanes that encode one or more probabilities that the object transitioned to that lane from another lane in the environment or from that lane to another lane in the environment at the current time. The methods then include determining an assigned probability associated with each of the plurality of lanes based on the instantaneous probability and the transition matrix as a measure of likelihood of the object occupying that lane at the current time.

A dual-use electromagnetic beam system may be used as a remote power delivery system when not needed as an offensive weapon. For example, a system for disabling or destroying uncooperative or enemy assets such as UAVs or ground vehicles may be used during “down time” to provide power to assets that are separated from prime power sources by distance or by logistics.

A dual-use electromagnetic beam system may be used as a remote power delivery system when not needed as an offensive weapon. For example, a system for disabling or destroying uncooperative or enemy assets such as UAVs or ground vehicles may be used during “down time” to provide power to assets that are separated from prime power sources by distance or by logistics.

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 scalable tracking system processes video of a space to track the positions of objects within a space. The tracking system determines local coordinates for the objects within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for an object during that time window.