1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2017
Dense Piecewise Planar RGB-D SLAM for Indoor Environments
Phi-Hung Le, Jana Kosecka
The paper exploits weak Manhattan constraints to parse the structure of indoor environments from RGB-D video sequences in an online setting. We extend the previous approach for sin…
cs.CV2017★ 1 cited
A Dataset for Developing and Benchmarking Active Vision
Phil Ammirato, Patrick Poirson, Eunbyung Park +2
We present a new public dataset with a focus on simulating robotic vision tasks in everyday indoor environments using real imagery. The dataset includes 20,000+ RGB-D images and 50…
cs.CV2016
Reinforcement Learning for Semantic Segmentation in Indoor Scenes
Md. Alimoor Reza, Jana Kosecka
Future advancements in robot autonomy and sophistication of robotics tasks rest on robust, efficient, and task-dependent semantic understanding of the environment. Semantic segment…