Title
UAV Autonomous Indoor Exploration and Mapping for SAR Missions: Reflections from the ICUAS 2022 Competition
Abstract
The technological advancement in Unmanned Aerial Vehicles (UAVs) or drones and their deployment in real-life Search and Rescue (SAR) missions is imminent. We, therefore, present a perception-aware autonomous exploration framework aimed at performing vision-based target detection and collision avoidance with an Unmanned Aerial Vehicle (UAV). The UAV utilizes a depth camera for maneuvering and finding the target. The underlying indoor exploration approach considers autonomous collision-free navigation, as well as target detection with a ballistic ball payload delivery without a prior map. Moreover, the proposed method allows safe navigation in enclosed unknown areas congested with randomly positioned obstacles and target locations. Our underlined end-to-end system architecture integrates the proposed exploration strategy. Extensive simulation experiments, using several Key Performance Indicators (KPIs), showcase the effectiveness of the proposed Robot Operating System (ROS) framework in a simulated Gazebo environment under various parameter settings.
Year
DOI
Venue
2022
10.1109/UR55393.2022.9866527
2022 19th International Conference on Ubiquitous Robots (UR)
Keywords
DocType
ISBN
UAV autonomous indoor exploration,SAR missions,reflections,ICUAS 2022 competition,drones,perception-aware autonomous exploration framework,vision-based target detection,collision avoidance,Unmanned Aerial Vehicle,depth camera,maneuvering finding,underlying indoor exploration approach,autonomous collision-free navigation,ballistic ball payload delivery,prior map,safe navigation,enclosed unknown areas,randomly positioned obstacles,target locations,underlined end-to-end system architecture,exploration strategy,Key Performance Indicators,Robot Operating System framework
Conference
978-1-6654-8254-7
Citations 
PageRank 
References 
0
0.34
6
Authors
6