4 papers
SkyDreamer: Interpretable End-to-End Vision-Based Drone Racing with Model-Based Reinforcement Learning
Aderik Verraest, Stavrow Bahnam, Robin Ferede +2
Autonomous drone racing (ADR) systems have recently achieved champion-level performance, yet remain highly specific to drone racing. While end-to-end vision-based methods promise b…
Multi-objective Evolution of Drone Morphology
Elijah H. W. Ang, Christophe De Wagter, Guido C. H. E. de Croon
The design of multicopter drones has remained almost the same since its inception. While conventional designs, such as the quadcopter, work well in many cases, they may not be opti…
Self-supervised Monocular Multi-robot Relative Localization with Efficient Deep Neural Networks
Shushuai Li, Christophe De Wagter, Guido C. H. E. de Croon
Relative localization is an important ability for multiple robots to perform cooperative tasks in GPS-denied environment. This paper presents a novel autonomous positioning framewo…
Learning what is above and what is below: horizon approach to monocular obstacle detection
Guido de Croon, Christophe De Wagter
A novel approach is proposed for monocular obstacle detection, which relies on self-supervised learning to discriminate everything above the horizon line from everything below. Obs…