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The Iris Automation system can see much further and track dynamic objects like aircraft, balloons, birds, etc. This article does a pretty good job of summing up why we need much more than the "bumper solutions" you mention above: https://medium.com/@alexharm/why-situational-awareness-is-ab...

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How do they handle tracking dynamic objects if they are also moving dynamically? Is it just a SLAM method, where you can identify objects between frames?

The only way I have seen this done us using post-processing on object edges. There is no horizon, so it would be pretty difficult to do in real time (I.e. ~20 fps), perhaps to slow to make decisions.

The system is much more than just a basic SLAM algorithm, allowing it to have a full picture of the world, tracking both static and dynamic obstacles that the drone may encounter.

The technologies in the OP are also attempting to provide a solution for air traffic collision avoidance. What is the specific use case Iris will solve better than any other existing technology?

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