142 citations · 712 across the 76 of their papers we have counts for
Showing 2017 · cs.ROShow all
3 papers · 2 filters
cs.RO2017★ 99 cited
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
Fangchang Ma, Sertac Karaman
We consider the problem of dense depth prediction from a sparse set of depth measurements and a single RGB image. Since depth estimation from monocular images alone is inherently a…
cs.RO2017★ 3 cited
On Sensing, Agility, and Computation Requirements for a Data-gathering Agile Robotic Vehicle
Fangchang Ma, Sertac Karaman
We consider a robotic vehicle tasked with gathering information by visiting a set of spatially-distributed data sources, the locations of which are not known a priori, but are disc…
cs.RO2017★ 8 cited
Sparse Depth Sensing for Resource-Constrained Robots
Fangchang Ma, Luca Carlone, Ulas Ayaz +1
We consider the case in which a robot has to navigate in an unknown environment but does not have enough on-board power or payload to carry a traditional depth sensor (e.g., a 3D l…