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Semantic labeling for indoor topological mapping using a wearable catadioptric system
Affiliation:1. Department of French Studies, University of Turku, FI-20014, Finland;2. Department of Information Technology, University of Turku, FI-20014, Finland;3. Department of Nursing Science, University of Turku, FI-20014, Finland;4. The Hospital District of Southwest Finland, PL 52, FI-20521 Turku, Finland;1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, PR China;2. School of Software, Tsinghua University, Beijing 100084, PR China;3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, PR China;4. Department of Electrical and Computer Engineering, The National University of Singapore, Singapore 117576, Singapore;1. Department of Mathematics & Statistics, PO Box 70663, East Tennessee State University, Johnson City, TN, 37614, USA;2. Institute for Quantitative Biology, East Tennessee State University, Johnson City, TN, USA;3. Department of Biological Sciences, East Tennessee State University, Johnson City, TN, USA
Abstract:
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