Abstract: A method for improving situational awareness for teleoperation of a remote vehicle by creating a 3D map display of an area around the remote vehicle comprises: receiving an original image from a stereo vision camera and utilizing the original image to perform visual odometry to determine the x, y, z, roll, pitch, and yaw for the original image; applying a fill-in algorithm to the original image to fill in an estimated depth for areas of the original image for which no depth data is available, which creates an enhanced depth image; combining the enhanced depth image with the x, y, z, roll, pitch, and yaw for the original image to create the 3D map display of the area around the remote vehicle; and displaying the 3D map display on an operator control unit used to control the remote vehicle.

Abstract: A method for improving situational awareness for teleoperation of a remote vehicle by creating a 3D map display of an area around the remote vehicle comprises: receiving an original image from a stereo vision camera and utilizing the original image to perform visual odometry to determine the x, y, z, roll, pitch, and yaw for the original image; applying a fill-in algorithm to the original image to fill in an estimated depth for areas of the original image for which no depth data is available, which creates an enhanced depth image; combining the enhanced depth image with the x, y, z, roll, pitch, and yaw for the original image to create the 3D map display of the area around the remote vehicle; and displaying the 3D map display on an operator control unit used to control the remote vehicle.

Abstract: A method for improving situational awareness for teleoperation of a remote vehicle by creating a 3D map display of an area around the remote vehicle comprises: receiving an original image from a stereo vision camera and utilizing the original image to perform visual odometry to determine the x, y, z, roll, pitch, and yaw for the original image; applying a fill-in algorithm to the original image to fill in an estimated depth for areas of the original image for which no depth data is available, which creates an enhanced depth image; combining the enhanced depth image with the x, y, z, roll, pitch, and yaw for the original image to create the 3D map display of the area around the remote vehicle; and displaying the 3D map display on an operator control unit used to control the remote vehicle.

Abstract: A method for controlling unmanned vehicles to maintain line-of-sight between a predetermined target and at least one unmanned vehicle. The method comprises: providing an unmanned air vehicle including sensors configured to locate a target and an unmanned ground vehicle including sensors configured to locate and track the target; communicating and exchanging data to and among the unmanned ground vehicles; controlling the unmanned air vehicle and the unmanned ground vehicle to maintain line-of-sight between a predetermined target and at least one of the unmanned air vehicles; geolocating the predetermined target with the unmanned air vehicle using information regarding a position of the unmanned air vehicle and information regarding a position of the target relative to the unmanned air vehicle; and transmitting information defining the geolocation of the predetermined target to the unmanned ground vehicle so that the unmanned ground vehicle can perform path planning based on the geolocation.

Abstract: A collaborative engagement system comprises: at least two unmanned vehicles comprising an unmanned air vehicle including sensors configured to locate a target and an unmanned ground vehicle including sensors configured to locate and track a target; and a controller facilitating control of, and communication and exchange of data to and among the unmanned vehicles, the controller facilitating data exchange via a common protocol. The collaborative engagement system controls the unmanned vehicles to maintain line-of-sight between a predetermined target and at least one of the unmanned vehicles.

Abstract: A method for improving situational awareness for teleoperation of a remote vehicle by creating a 3D map display of an area around the remote vehicle comprises: receiving an original image from a stereo vision camera and utilizing the original image to perform visual odometry to determine the x, y, z, roll, pitch, and yaw for the original image; applying a fill-in algorithm to the original image to fill in an estimated depth for areas of the original image for which no depth data is available, which creates an enhanced depth image; combining the enhanced depth image with the x, y, z, roll, pitch, and yaw for the original image to create the 3D map display of the area around the remote vehicle; and displaying the 3D map display on an operator control unit used to control the remote vehicle.

Abstract: A collaborative engagement system comprises: at least two unmanned vehicles comprising an unmanned air vehicle including sensors configured to locate a target and an unmanned ground vehicle including sensors configured to locate and track a target; and a controller facilitating control of, and communication and exchange of data to and among the unmanned vehicles, the controller facilitating data exchange via a common protocol. The collaborative engagement system controls the unmanned vehicles to maintain line-of-sight between a predetermined target and at least one of the unmanned vehicles.