Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping
Elchanan Zwecher,Eran Iceland,Sean R. Levy,Shmuel Y. Hayoun,Oren Gal,Ariel Barel,Elchanan Zwecher,Eran Iceland,Sean R. Levy,Shmuel Y. Hayoun,Oren Gal,Ariel Barel
The challenge of mapping indoor environments is addressed. Typical heuristic algorithms for solving the motion planning problem are frontier-based methods, that are especially effective when the environment is completely unknown. However, in cases where prior statistical data on the environment's architectonic features is available, such algorithms can be far from optimal. Furthermore, their calcu...
