Search Results for author:
Found 4 papers, 2 papers with code
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments
Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algorithms.
Instance Segmentation
Semantic Segmentation
+1
Robotics
Vision-based Drone Flocking in Outdoor Environments
We employ a convolutional neural network to detect and localize nearby agents onboard the quadcopters in real-time.
Learning Vision-based Flight in Drone Swarms by Imitation
Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers.
Learning Vision-based Cohesive Flight in Drone Swarms
This paper presents a data-driven approach to learning vision-based collective behavior from a simple flocking algorithm.
