5 citations · 6 across the 9 of their papers we have counts for
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cs.LG2021
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping
Elchanan Zwecher, Eran Iceland, Sean R. Levy +3
The challenge of mapping indoor environments is addressed. Typical heuristic algorithms for solving the motion planning problem are frontier-based methods, that are especially effe…
cs.LG2020★ 1 cited
Deep-Learning-Aided Path Planning and Map Construction for Expediting Indoor Mapping
Elchanan Zwecher, Eran Iceland, Shmuel Y. Hayoun +3
The problem of autonomous indoor mapping is addressed. The goal is to minimize the time to achieve a predefined percentage of exposure with some desired level of certainty. The use…