Vaclav Pritzl

TL;DR: In this article, a novel approach to autonomous extinguishing of indoor fires inside a building by a micro-scale Unmanned Aerial Vehicle (MAV) is presented, in particular, controlling and estimating the MAV state, detection of a building entrance, multi-modal MAV localization during the outdoor-indoor transition, interior motion planning and exploration, fire detection and position estimation, and fire extinguishing.

TL;DR: This paper presents a family of autonomous Unmanned Aerial Vehicles (UAVs) platforms designed for a diverse range of indoor and outdoor applications and presents mechanical designs, electric configurations, and dynamic models of the UAVs, followed by numerous recommendations and technical details required for building such a fully autonomous UAV system for experimental verification of scientific achievements.

TL;DR: In this paper, the authors proposed an approach enabling an unmanned aerial vehicle (UAV) to autonomously enter a target building through an open window. And they used a fusion of depth camera and 2D Light Detection and Ranging (LiDAR) data for window detection and continuous estimation of its position, orientation and size.

TL;DR: In this paper , the authors proposed a cooperative navigation and guidance architecture utilizing a large LiDAR-equipped UAV accompanied by a small secondary UAV carrying a significantly lighter monocular camera.

TL;DR: In this article , a novel approach for robust UAV altitude estimation relying on laser measurements that is designed for use in complex indoor environments is proposed, which solves the problem of adaptive fusion of data from multiple sources with apriori-unknown confidence dependent on the current environmental properties.