Special Issue "UAS Navigation and Orientation"
A special issue of Drones (ISSN 2504-446X).
Deadline for manuscript submissions: closed (30 June 2019).
Interests: photogrammetric engineering and remote sensing mapping, low-cost unmanned mobile mapping systems with focus on the use of unmanned aerial mapping systems for geomatics, indoor/outdoor navigation and mapping, sensor integration, 3D modelling using optical and lidar data, mapping from high resolution imagery, image-sequence for mapping and scene analysis, spatial data co-registration, spatial awareness and intelligence, integration of GIS and remote sensing methods, risk assessment and disaster management
Interests: geomatics; navigation; geometric photogrammetry and remote sensing; sensor modelling; sensor integration; sensor orientation and calibration; multi-sensor integration for orientation and navigation; indoor/outdoor navigation; estimation methods; software systems for orientation and navigation; unmanned aerial systems; unmanned aerial systems for photogrammetry, remote sensing and mapping; combined terrestrial and aerial mobile mapping systems
The trend to develop semi-autonomous and autonomous Unmanned Aircraft System (UAS) continues to accelerate. Accurate and ubiquitous UAS navigation and orientation, and UAS high-definition mapping are challenging tasks towards fully-automated and autonomous operations. Currently, no single technology allows the accurate and reliable determination of the position of a UAS at all times. Autonomous flying of a UAS in known and unknown environments requires continuous integration of the navigation sensors data, perception of environmental elements with respect to space and time, understanding of the scene situation through data and information, anticipation of next stages, and ability to make quick knowledge-based decisions based on real-time position and navigation, scene sensing, recognition, understanding and visualization.
The navigation and orientation of UAS provide position, velocity and attitude of the flying platform and its payload sensors within a reference system. These are critical aspects in determining accurately the dynamic state of the platform, its trajectory and route to destination, and in mapping the environment from data captured by the onboard mapping sensors. Navigation, a real-time task, is a critical element of UAS route planning and obstacle sense and avoidance as the UAS explores its surroundings, matching the scene with given databases, detecting and analyzing scene-database differences, “learning” through exploration and understanding and selecting a route based on certain criteria and constraints. Orientation, a post-mission task, is critical in the optimal exploitation of the remotely sensed data for the purposes of sensor position and attitude determination, sensor calibration and sensor synchronization.
This Special Issue focuses on novel and innovative methods and approaches for determining the position, velocity and attitude of the UAS for applications as overarching as input to the autopilots, simultaneous localization and mapping down to very accurate post-mission sensor fusion algorithms for orientation determination. We welcome submissions which provide the community with the most recent advancements on all aspects of UAV Navigation and Orientation, including but not limited to:
- Direct, indirect and integrated sensor/platform positioning and orientation
- Vision-based navigation and orientation
- Single/multiple IMU–Vision-based navigation and orientation
- Simultaneous Localization and Mapping (SLAM)
- Navigation and orientation using machine learning and deep learning
- Kalman and Particle filtering and other advanced techniques for motion sensor data fusion
- Computational aspects and incremental approaches
- Collaborative UAS-UAS and UAS-UGV missions
- Navigation and orientation in outdoors and indoors environments
- Autonomous navigation
- Obstacle detection and avoidance
- Precise Point Positioning (PPP) navigation
- Ultra Wide Band (UWB) localization
- Optical flow–based vision-based navigation
- Trajectory tracking systems
- Autopilots and navigation: standard and advanced solutions for navigation integrity
- Path planning
- Beyond visual line of sight (BVLOS) navigation
Dr. Costas Armenakis
Dr. Ismael Colomina
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.