Advisor(s):
Michael Black
I'm a second year PhD Student at the department of Perceiving Systems. I'm working on outdoor 4d scans using multiple aerial vehicles as self positioning autonomous and mobile camera/sensor platforms which we design and operate here at the institute. My current work involves integrating detections from real time deep neural networks into cooperative multi vehicle sensor fusion.
MAVOCAP LibrePilot PS
Our goal is markless, unconstrained, human and animal motion capture outdoors. To that end, we are developing a flying mocap system using a team of aerial vehicles (MAVs) with only on-board, monocular RGB cameras. To realize such an outdoor motion capture system we need to address research challenges...
Aamir Ahmad Eric Price Nitin Saini Guilherme Lawless Roman Ludwig Igor Martinovic Michael Black
Autonomous MoCap systems, like AirCap, rely on robots with on-board cameras that can localize and navigate autonomously. More importantly, these robots must detect, track and follow the subject (human or animal) in real time. Thus, a key component of such a system is motion planning and control of multiple...
Aamir Ahmad Eric Price Rahul Tallamraju Roman Ludwig Michael Black
ps
Price, E., Lawless, G., Ludwig, R., Martinovic, I., Buelthoff, H. H., Black, M. J., Ahmad, A.
Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles
IEEE Robotics and Automation Letters, Robotics and Automation Letters, 3(4):3193-3200, IEEE, October 2018, Also accepted and presented in the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). (article)