Multi-Sensor UAV Imaging System for Wide Field of View
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Solution Overview
Problem
Small unmanned aerial vehicles (UAVs) equipped with fixed mount cameras have limited field of view and require longer flight times due to size, weight, and power constraints, and are limited by the analog NTSC video format, restricting their ability to efficiently cover ground areas and conduct reconnaissance missions.
Innovation Solution
An optical imaging system utilizing a sensor array with multiple image sensors that provide a large field of view without the weight of mechanical gimbaled systems, allowing for virtual pan, tilt, and zoom capabilities, while maintaining low power consumption and adhering to NTSC radio link standards, enabling efficient image acquisition and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If a gimbaled pan/zoom/tilt camera system is used to increase field of view, then the field of view is improved, but the weight, size, and power consumption increase
Solution Approach 1:
The camera system is divided into multiple independent image sensors arranged in a specific pattern, with each sensor capturing a portion of the overall field of view. This segmentation allows the system to achieve a wide field of view through multiple fixed sensors rather than one large gimbaled system, thereby reducing weight while maintaining coverage area.
Solution Approach 2:
Multiple image sensors are combined to function as a single virtual camera system with a wide field of view. The sensors are positioned and oriented to capture overlapping regions, which are then merged through image processing to create a composite image representing the entire field of view, eliminating the need for heavy mechanical gimbal structures.
2Weight of moving object
If a fixed mount camera system is used to reduce weight and size, then the weight and size are reduced, but the field of view is limited
Solution Approach 1:
The camera system is divided into multiple independent image sensors arranged in a specific pattern, with each sensor capturing a portion of the overall field of view. This segmentation allows the system to achieve a wide field of view through multiple fixed sensors rather than one large gimbaled system, thereby reducing weight while maintaining coverage area.
Solution Approach 2:
The system transitions from a single-sensor three-dimensional gimbaled mechanism to a multi-sensor two-dimensional array arrangement. By organizing sensors in a planar configuration with specific spatial relationships, the system achieves wide field of view coverage through geometric arrangement rather than mechanical rotation, reducing weight while maintaining observational coverage.
3Power
If the NTSC analog video format is used for radio transmission, then the bandwidth requirements are reduced, but the image resolution and data rate are limited
Solution Approach 1:
The system captures images at higher resolutions than the NTSC format requires, using multiple high-resolution image sensors that generate more data than can be transmitted over the radio link. Excess data is processed and managed on-board, with only the necessary information transmitted to the ground station, thereby maintaining high measurement precision while adhering to bandwidth constraints.
Solution Approach 2:
Image processing and data reduction are performed on-board the UAV before transmission to the ground station. The system pre-processes captured images to identify and prioritize critical information, reducing the data volume for transmission while preserving essential measurement precision, thus accommodating NTSC bandwidth limitations without sacrificing analytical capability.
4Area of moving object
If multiple image sensors are used to increase field of view, then the field of view is improved, but the device complexity increases
Solution Approach 1:
The camera system is divided into multiple independent image sensors arranged in a specific pattern, with each sensor capturing a portion of the overall field of view. This segmentation allows the system to achieve a wide field of view through multiple fixed sensors rather than one large gimbaled system, thereby reducing weight while maintaining coverage area.
Solution Approach 2:
The multiple image sensors are designed with uniform specifications and identical optical characteristics, allowing them to function interchangeably. This universality simplifies the system architecture by eliminating the need for complex calibration and alignment procedures between sensors, reducing overall device complexity while maintaining wide field of view capability.
Data Source
AI summary
An optical imaging system and associated methods for capturing images from an aircraft, such as a UAV. A camera unit on-board the aircraft is remotely controlled from an image control station. The image control station receives image data from the camera unit, and also delivers control signals for determining a viewing mode of the image.


