KEYWORDS: Sensors, Cameras, Video, Video surveillance, Control systems, Mathematical modeling, Motion models, Data modeling, Surveillance, Imaging systems
Modern aerial video has depended on high quality gimbals. The benefits of these gimbals include motion correction,
navigational information, and a standardized mounting interface for sensors to the platform. The downside to the gimbal
is the weight, power, and cost of the system, as well as the potential for mechanical failure. These negative factors are
increasingly significant as medium sized and small unmanned aircraft proliferate. Luckily, in many cases, it is possible
to fly without a gimbal. With the advent of large format video systems, we can achieve high quality video in the visible
domain with un-gimbaled video. The massive field of view and high resolution given by these new systems provides a
large amount of data redundancy, and it is possible to use this redundancy to improve algorithmic stabilization, to
overcome aircraft motion, and to sharpen geolocation estimates. We describe an example system that flies without a
gimbal and detail the algorithms that facilitate the high quality of the video. We present actual imagery from a system
with no gimbal with relevant data to evaluate its performance, and we discuss the tradeoffs involved in system design
with and without a gimbal.
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