Besides the machine learning angle discussed in the previous post, the UAV based GPR system that I have been working on has involved an interesting foray into robot swarming technology. The reason being that the sensor places a number of restrictions on the operation of the aerial robot. In particular the swath that can be covered in one pass is rather limited. There are different routes to ameliorating that and one of them is the use of multiple drones to increase coverage rates.
One of the projects that has taken up a lot of my time the past few months is that of a UAV (drone) based Ground Penetrating Radar (GPR) system. There are a number of applications for this but the one we have been focussing on initially is landmine and UXO clearance. The elements that make up such a system are quite broad. Ranging from sensor design, UAV integration, positioning, terrain following to data analysis. As with many drone projects most of the attention tends to go to the hardware and the flying. While that is certainly important and I have been working on those elements too, the whole system is only as good as the quality and interpretability of the data you get back. That is key. With this post I’ll aim to give a brief summary of the work I have been leading on this front.
There has been a lot going on recently and I thought I would give an update of the main projects I have been working on. I will aim to post more detailed updates and results as things progress and confidentiality agreements allow.