1 citations · 1 across the 3 of their papers we have counts for
3 papers
Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning
Shmuel Y. Hayoun, Meir Halachmi, Doron Serebro +5
Achieving safe and reliable autonomous driving relies greatly on the ability to achieve an accurate and robust perception system; however, this cannot be fully realized without pre…
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…
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…