2 citations · 2 across the 5 of their papers we have counts for
5 papers
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization
Amay Saxena, Chih-Yuan Chiu, Joseph Menke +2
Simultaneous Localization and Mapping (SLAM) algorithms perform visual-inertial estimation via filtering or batch optimization methods. Empirical evidence suggests that filtering a…
Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
Alexander Mai, Joseph Menke, Allen Yang
Image space feature detection is the act of selecting points or parts of an image that are easy to distinguish from the surrounding image region. By combining a repeatable point de…
Improving Usability, Efficiency, and Safety of UAV Path Planning through a Virtual Reality Interface
Jesse Paterson, Jiwoong Han, Tom Cheng +4
As the capability and complexity of UAVs continue to increase, the human-robot interface community has a responsibility to design better ways of specifying the complex 3D flight pa…
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks
Zhang Qianhao, Alexander Mai, Joseph Menke +1
In visual Simultaneous Localization And Mapping (SLAM), detecting loop closures has been an important but difficult task. Currently, most solutions are based on the bag-of-words ap…
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams
David L. McPherson, Dexter R. R. Scobee, Joseph Menke +2
When a human supervisor collaborates with a team of robots, their attention is divided and cognitive resources are at a premium. We aim to optimize the distribution of these resour…