1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.RO2019★ 1 cited
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
Nathaniel Merrill, Guoquan Huang
Traditional attempts for loop closure detection typically use hand-crafted features, relying on geometric and visual information only, whereas more modern approaches tend to use se…
cs.RO2018
Lightweight Unsupervised Deep Loop Closure
Nate Merrill, Guoquan Huang
Robust efficient loop closure detection is essential for large-scale real-time SLAM. In this paper, we propose a novel unsupervised deep neural network architecture of a feature em…