61 citations · 96 across the 5 of their papers we have counts for
7 papers
Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games
Yunpu Hu, Fabian Schilling, Valentina Cavinato +6
Spin plays a crucial role in many ball sports due to its effect on the trajectory of the ball. Vision-based estimation of the ball's spin during a game with conventional cameras is…
Smart Textiles that Teach: Fabric-Based Haptic Device Improves the Rate of Motor Learning
Vivek Ramachandran, Fabian Schilling, Amy R Wu +1
People learn motor activities best when they are conscious of their errors and make a concerted effort to correct them. While haptic interfaces can facilitate motor training, exist…
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments
Koji Minoda, Fabian Schilling, Valentin Wüest +2
Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algorithms. Existing datasets typically fail to capture the dynamic nature…
Vision-based Drone Flocking in Outdoor Environments
Fabian Schilling, Fabrizio Schiano, Dario Floreano
Decentralized deployment of drone swarms usually relies on inter-agent communication or visual markers that are mounted on the vehicles to simplify their mutual detection. This let…
Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System
Tobias Klamt, Diego Rodriguez, Lorenzo Baccelliere +29
Mobile manipulation robots have high potential to support rescue forces in disaster-response missions. Despite the difficulties imposed by real-world scenarios, robots are promisin…
Learning Vision-based Flight in Drone Swarms by Imitation
Fabian Schilling, Julien Lecoeur, Fabrizio Schiano +1
Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers. This work proposes an entirel…
Learning Vision-based Cohesive Flight in Drone Swarms
Fabian Schilling, Julien Lecoeur, Fabrizio Schiano +1
This paper presents a data-driven approach to learning vision-based collective behavior from a simple flocking algorithm. We simulate a swarm of quadrotor drones and formulate the…