Abstract: An imaging system for a moving vehicle aggregates pre-existing data with sensor data to provide an image of the surrounding environment in real-time. The pre-existing data are combined with data from one or more 3-D sensors, and 2-D information from a camera, to create a scene model that is rendered for display. The system accepts data from a 3-D sensor, transforms the data into a 3-D data structure, fuses the pre-existing scene data with the 3-D data structure and 2-D image data from a 2-D sensor to create a combined scene model, and renders the combined scene model for display. The system may also weight aspects of data from first and second sensors to select at least one aspect from the first sensor and another aspect from the second sensor; wherein fusing the pre-existing scene data with the sensor data uses the selected aspect from the first sensor and the selected aspect from the second sensor.

Abstract: An imaging system for a moving vehicle aggregates pre-existing data with sensor data to provide an image of the surrounding environment in real-time. The pre-existing data are combined with data from one or more 3-D sensors, and 2-D information from a camera, to create a scene model that is rendered for display. The system accepts data from a 3-D sensor, transforms the data into a 3-D data structure, fuses the pre-existing scene data with the 3-D data structure and 2-D image data from a 2-D sensor to create a combined scene model, and renders the combined scene model for display. The system may also weight aspects of data from first and second sensors to select at least one aspect from the first sensor and another aspect from the second sensor; wherein fusing the pre-existing scene data with the sensor data uses the selected aspect from the first sensor and the selected aspect from the second sensor.

Abstract: An imaging system for a moving vehicle aggregates pre-existing data with sensor data to provide an image of the surrounding environment in real-time. The pre-existing data are combined with data from one or more 3-D sensors, and 2-D information from a camera, to create a scene model that is rendered for display. The system accepts data from a 3-D sensor, transforms the data into a 3-D data structure, fuses the pre-existing scene data with the 3-D data structure and 2-D image data from a 2-D sensor to create a combined scene model, and renders the combined scene model for display. The system may also weight aspects of data from first and second sensors to select at least one aspect from the first sensor and another aspect from the second sensor; wherein fusing the pre-existing scene data with the sensor data uses the selected aspect from the first sensor and the selected aspect from the second sensor.

Abstract: An imaging system for a moving vehicle aggregates pre-existing data with sensor data to provide an image of the surrounding environment in real-time. The pre-existing data are combined with data from one or more 3-D sensors, and 2-D information from a camera, to create a scene model that is rendered for display. The system accepts data from a 3-D sensor, transforms the data into a 3-D data structure, fuses the pre-existing scene data with the 3-D data structure and 2-D image data from a 2-D sensor to create a combined scene model, and renders the combined scene model for display. The system may also weight aspects of data from first and second sensors to select at least one aspect from the first sensor and another aspect from the second sensor; wherein fusing the pre-existing scene data with the sensor data uses the selected aspect from the first sensor and the selected aspect from the second sensor.

Abstract: A method for navigating an airborne device relative to a target comprises detecting, at an optical detector on the airborne device, an optical signal generated by one or more LEDs on the target; comparing the detected optical signal with a previously-detected optical signal; determining, based on the comparison, a change in location of at least one of the airborne device or the target; adjusting a position of the airborne device based on the determined change in location; predicting a movement of the target based on information indicative of at least one of a position, a rotation, an orientation, an acceleration, a velocity, or an altitude of the target, wherein the position of the airborne device is adjusted based on the predicted movement; detecting an obstacle in a flight path associated with the airborne device and adjusting a position of the airborne device based on detected obstacle information.

Abstract: An imaging system for a moving vehicle aggregates pre-existing data with sensor data to provide an image of the surrounding environment in real-time. The pre-existing data are combined with data from one or more 3-D sensors, and 2-D information from a camera, to create a scene model that is rendered for display. The system accepts data from a 3-D sensor, transforms the data into a 3-D data structure, fuses the pre-existing scene data with the 3-D data structure and 2-D image data from a 2-D sensor to create a combined scene model, and renders the combined scene model for display. The system may also weight aspects of data from first and second sensors to select at least one aspect from the first sensor and another aspect from the second sensor; wherein fusing the pre-existing scene data with the sensor data uses the selected aspect from the first sensor and the selected aspect from the second sensor.

Abstract: A method for navigating an airborne device relative to a target comprises detecting, at an optical detector on the airborne device, an optical signal generated by one or more LEDs on the target. The method also comprises comparing, by a processor on the airborne device, the detected optical signal with a previously-detected optical signal. The method further comprises determining, by the processor based on the comparison, a change in location of at least one of the airborne device or the target. The method also comprises adjusting a position of the airborne device based on the determined change in location. The method also comprises predicting, by the processor, a movement of the target based on information indicative of at least one of a position, a rotation, an orientation, an acceleration, a velocity, or an altitude of the target, wherein the position of the airborne device is adjusted based on the predicted movement of the target.

Abstract: A method for navigating an airborne device relative to a target comprises detecting, at an optical detector on the airborne device, an optical signal generated by one or more LEDs on the target. The method also comprises comparing, by a processor on the airborne device, the detected optical signal with a previously-detected optical signal. The method further comprises determining, by the processor based on the comparison, a change in location of at least one of the airborne device or the target. The method also comprises adjusting a position of the airborne device based on the determined change in location. The method also comprises predicting, by the processor, a movement of the target based on information indicative of at least one of a position, a rotation, an orientation, an acceleration, a velocity, or an altitude of the target, wherein the position of the airborne device is adjusted based on the predicted movement of the target.

Abstract: An imaging system for a moving vehicle aggregates pre-existing data with sensor data to provide an image of the surrounding environment in real-time. The pre-existing data are combined with data from one or more 3-D sensors, and 2-D information from a camera, to create a scene model that is rendered for display. The system accepts data from a 3-D sensor, transforms the data into a 3-D data structure, fuses the pre-existing scene data with the 3-D data structure and 2-D image data from a 2-D sensor to create a combined scene model, and renders the combined scene model for display. The system may also weight aspects of data from first and second sensors to select at least one aspect from the first sensor and another aspect from the second sensor; wherein fusing the pre-existing scene data with the sensor data uses the selected aspect from the first sensor and the selected aspect from the second sensor.

Abstract: A method for navigating an airborne device relative to a target comprises detecting, at an optical detector on the airborne device, an optical signal generated by one or more LEDs on the target. The method also comprises comparing, by a processor on the airborne device, the detected optical signal with a previously-detected optical signal. The method further comprises determining, by the processor based on the comparison, a change in location of at least one of the airborne device or the target. The method also comprises adjusting a position of the airborne device based on the determined change in location. The method also comprises predicting, by the processor, a movement of the target based on information indicative of at least one of a position, a rotation, an orientation, an acceleration, a velocity, or an altitude of the target, wherein the position of the airborne device is adjusted based on the predicted movement of the target.