2 papers
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
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…