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Vision-based route following by an embodied insect-inspired sparse neural network
We compared the efficiency of the FlyHash model, an insect-inspired sparse neural network (Dasgupta et al., 2017), to similar but non-sparse models in an embodied navigation task.
Visual Appearance Analysis of Forest Scenes for Monocular SLAM
Monocular simultaneous localisation and mapping (SLAM) is a cheap and energy efficient way to enable Unmanned Aerial Vehicles (UAVs) to safely navigate managed forests and gather data crucial for monitoring tree health.
Place Recognition with Event-based Cameras and a Neural Implementation of SeqSLAM
Event-based cameras offer much potential to the fields of robotics and computer vision, in part due to their large dynamic range and extremely high "frame rates".
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