Semantic Mapping with Confidence Scores through Metric Embeddings and Gaussian Process Classification
Jungseok Hong,Suveer Garg,Volkan Isler,Jungseok Hong,Suveer Garg,Volkan Isler
Recent advances in robotic mapping enable robots to use both semantic and geometric understanding of their surroundings to perform complex tasks. Current methods are optimized for reconstruction quality, but they do not provide a measure of how certain they are of their outputs. Therefore, algorithms that use these maps do not have a way of assessing how much they can trust the outputs. We present...
