Roman Ludwig — accepted AI-conference papers

2019

Active Perception Based Formation Control for Multiple Aerial Vehicles

Rahul Tallamraju, Eric Price, Roman Ludwig, Kamalakar Karlapalem, Heinrich H. Bülthoff, Michael J. Black +1

RA-L 2019

We present a novel robotic front-end for autonomous aerial motion-capture (mocap) in outdoor environments. In previous work, we presented an approach for cooperative detection and tracking (CDT) of a subject using multiple micro-aerial vehicles (MAVs). However, it did not ensure optimal view-point c

Cited by 69 Source ↗Scholar ↗

2019

Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles

Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic +2

ICCV 2019poster

Capturing human motion in natural scenarios means moving motion capture out of the lab and into the wild. Typical approaches rely on fixed, calibrated, cameras and reflective markers on the body, significantly limiting the motions that can be captured. To make motion capture truly unconstrained, we…

Cited by 43 PDF ↗Scholar ↗

2018

Deep Neural Network-Based Cooperative Visual Tracking Through Multiple Micro Aerial Vehicles

Eric Price, Guilherme Lawless, Roman Ludwig, Igor Martinovic, Heinrich H. Bülthoff, Michael J. Black +1

RA-L 2018

Multicamera tracking of humans and animals in outdoor environments is a relevant and challenging problem. Our approach to it involves a team of cooperating microaerial vehicles (MAVs) with on-board cameras only. Deep neural networks (DNNs) often fail at detecting small-scale objects or those that ar

Cited by 64 Source ↗Scholar ↗