Abstract: Techniques for facilitating situational awareness-based annotation systems and methods are provided. In one example, a method includes receiving a respective image from each of a plurality of imaging systems. The method further includes generating a panoramic image based on the images received from the plurality of imaging devices. The method further includes detecting an object in the panoramic image. The method further includes determining, for each image received from the plurality of imaging systems, whether the image contains the object detected in the panoramic image. The method further includes annotating each image received from the plurality of imaging systems determined to contain the object to include an indication associated with the object in the image. Related systems are also provided.

Abstract: A detection device, such as an unmanned vehicle, is adapted to traverse a search area and generate sensor data associated with objects that may be present in the search area. The generated sensor data is used by a system including object detection inference models configured to receive the sensor data and output object data, a local object tracker configured to track detected objects in a local map, and a global object tracker configured to track detected objects on a global map. The local object tracker is configured to fuse object detections from the object detection inference models to identify locally tracked objects, and a Kalman filter processes frames of fused object data to resolve duplicates and/or invalid object detections. The global object tracker includes a pose manager, configured to track global objects in the global map and update the pose based on a map optimization process. User-in-the-loop processing includes a user interface for displaying and manual editing of detected object data.

Abstract: A method for unmanned delivery of an item to a desired delivery location includes receiving, at an unmanned vehicle, first data representative of an approximate geographic location of the desired delivery location, receiving, at the unmanned vehicle, second data representative of a fiducial expected to be detectable at the desired delivery location, using the first data to operate the unmanned vehicle to travel to the approximate geographic location of the desired delivery location, upon arriving at the approximate geographic location of the desired delivery location, using the second data to operate the unmanned vehicle to detect the fiducial; and upon detecting the fiducial, using the fiducial to operate the unmanned vehicle to deliver the item.

Abstract: A detection device is adapted to traverse a search area and generate sensor data associated with an object that may be present in the search area, the detection device comprising a first logic device configured to detect and classify the object in the sensor data, communicate object detection information to a control system when the detection device is within a range of communications of the control system, and generate and store object analysis information for a user of the control system when the detection device is not in communication with the control system. A control system facilitates user monitoring and/or control of the detection device during operation and to access the stored object analysis information. The object analysis information is provided in an interactive display to facilitate user detection and classification of the detected object by the user to update the detection information, trained object classifier, and training dataset.

Abstract: Camouflage detection systems and related techniques are provided to improve the detection of camouflaged targets, including targets employing active thermal camouflage techniques. A camouflage detection system includes an imaging system and a logic device configured to communicate with the imaging system and a supplemental sensor system. The imaging system includes an infrared imaging module configured to provide infrared and/or thermal image data of a scene including a camouflaged target. The logic device is configured to receive infrared image data and supplemental sensor data, determine an estimated target spatial profile, and determine one or more target profile anomalies based, at least in part, on the estimated target spatial profile.

Abstract: Systems and methods for powering and controlling flight of an unmanned aerial vehicle are provided. The unmanned aerial vehicles can be used in a networked communication system. A tether management system can be used to facilitate both mobile and static tethered operation to provide power and/or voice and data communication.

Abstract: This specification describes systems for unmanned vehicle carrying and deployment. In some examples, a system includes a deployable robot including at least one rotatable flipper disposed on a surface of the deployable robot. The system includes a base unmanned vehicle configured for carrying and deploying the deployable robot. The base unmanned vehicle includes a base robot chassis, and the base robot chassis includes a platform for securing the deployable robot and at least one retention bracket disposed on the platform. The flipper is configured to rotate in a first rotational direction to lock the deployable robot onto the base robot chassis by engaging with the retention bracket.