Today I encounter several good sources for SLAM. This publishes notes on papers, while this introduces deep learning and SLAM. It is mentioned that the maps built by SLAM could be used to fuel the ConvNets in deep learning. Meanwhile, the computer vision research can be classified into two schools, namely geometry and recognition. So far SLAM is mostly focused on geometry.
In fact, Tombone's blog is really fascinating. It is also mentioned here that a great source to start learning deep learning is this.
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