Name
Abstract | ||
|---|---|---|
Micro aerial vehicles equipped with high-resolution cameras can be used to create aerial reconstructions of an area of interest. In that context automatic flight path planning and autonomous flying is often applied but so far cannot fully replace the human in the loop, supervising the flight on-site to assure that there are no collisions with obstacles. Unfortunately, this workflow yields several issues, such as the need to mentally transfer the aerial vehicle’s position between 2D map positions and the physical environment, and the complicated depth perception of objects flying in the distance. Augmented Reality can address these issues by bringing the flight planning process on-site and visualizing the spatial relationship between the planned or current positions of the vehicle and the physical environment. In this paper, we present Augmented Reality supported navigation and flight planning of micro aerial vehicles by augmenting the user’s view with relevant information for flight planning and live feedback for flight supervision. Furthermore, we introduce additional depth hints supporting the user in understanding the spatial relationship of virtual waypoints in the physical world and investigate the effect of these visualization techniques on the spatial understanding. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TVCG.2014.24 | Visualization and Computer Graphics, IEEE Transactions |
Keywords | Field | DocType |
aerospace computing,augmented reality,collision avoidance,image sensors,space vehicles,2D map positions,FlyAR,aerial reconstructions,aerial vehicle position,augmented reality,automatic flight path planning,autonomous flying,flight planning,flight planning process,high resolution cameras,micro aerial vehicle navigation,physical environment,spatial relationship,virtual waypoints,visualization techniques,Augmented reality, Micro aerial vehicles, Visualization | Computer vision,Data visualization,Visualization,Computer science,Flight planning,Augmented reality,Artificial intelligence,Human-in-the-loop,Robot,Workflow,Creative visualization | Journal |
Volume | Issue | ISSN |
20 | 4 | 1077-2626 |
Citations | PageRank | References |
9 | 0.61 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefanie Zollmann | 1 | 227 | 22.58 |
| Christof Hoppe | 2 | 59 | 5.04 |
| Tobias Langlotz | 3 | 399 | 36.80 |
| Gerhard Reitmayr | 4 | 1473 | 95.20 |