A novelty-guided drone path planner collects training images with useful new content faster than fixed lawnmower patterns, reaching 90% mIoU on a terrain map in three simulated missions.
Genera- tive probabilistic novelty detection with adversarial autoen- coders,
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Active Learning for UAV-based Semantic Mapping
A novelty-guided drone path planner collects training images with useful new content faster than fixed lawnmower patterns, reaching 90% mIoU on a terrain map in three simulated missions.