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thermal camera data as well as visual cameras and lidars. Expanding beyond our previous leading work on odometry, SLAM, and semantic segmentation using 2D and 4D radar data, with this project we wish
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visibility, in particular mining and construction environments that are characterised by heavy dust, smoke, and fog. Sensing modalities to be used include 4D radar and thermal camera data as well as visual
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(e.g. odours or visual landmarks). How these cues are sensed and integrated is still poorly understood, especially in nocturnal migratory insects. Work duties The main duties involved in a post-doctoral
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multi-modal perception and machine learning. Current noninvasive agricultural monitoring systems rely primarily on passive sensing, which limits sensitivity to early-stage plant stress. This project