Title
Autonomous MAV navigation in complex GNSS-denied 3D environments
Abstract
Micro aerial vehicles, such as multirotors, are particular well suited for the autonomous exploration, examination, and surveillance of otherwise inaccessible areas, e.g., for search and rescue missions in indoor disaster sites. Key prerequisites for the fully autonomous operation of micro aerial vehicles in restricted environments are 3D mapping, real-time pose tracking, obstacle detection, and planning of collision-free trajectories. In this work, we propose a complete navigation system with a multimodal sensor setup for omnidirectional environment perception. Measurements of a 3D laser scanner are aggregated in egocentric local multiresolution grid maps. Local maps are registered and merged to allocentric maps in which the MAV localizes. For autonomous navigation, we generate trajectories in a multi-layered approach: from mission planning over global and local trajectory planning to reactive obstacle avoidance. We evaluate our approach in a GNSS-denied indoor environment where multiple collision hazards require reliable omnidirectional perception and quick navigation reactions.
Year
DOI
Venue
2015
10.1109/SSRR.2015.7443012
2015 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
Keywords
Field
DocType
autonomous MAV navigation,complex GNSS-denied 3D environments,multimodal sensor,omnidirectional environment perception,3D laser scanner,egocentric local multiresolution grid maps,allocentric maps,autonomous navigation,mission planning,local trajectory planning,global trajectory planning,reactive obstacle avoidance,microaerial vehicles
Obstacle avoidance,Obstacle,Computer vision,Omnidirectional antenna,Search and rescue,Simulation,Visualization,Computer science,Navigation system,GNSS applications,Artificial intelligence,Grid
Conference
Citations 
PageRank 
References 
2
0.47
10
Authors
4
Name
Order
Citations
PageRank
Matthias Nieuwenhuisen1818.92
David Droeschel229221.76
marius beul3435.35
Sven Behnke41672181.84