Kouya Inamoto

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
In this study, we explore the use of deep convolu-tional neural networks (DCNNs) in visual place classification for robotic mapping and localization. An open question is how to partition the robot's workspace into places to maximize the performance (e.g., accuracy , precision, recall) of potential DCNN classifiers. This is a chicken and egg problem: If we(More)
  • 1