A Trajectory Recommendation System Via Optimizing Sensors Utilization in Airborne Systems (Demo Paper)
Airborne sensory system is equipped on piloted or remotelypiloted aerial vehicles to collect and transmit imagery data back to the ground users. In traditional approaches where pilots to satisfy spatiotemporal tasks via image capturing, the pilot is required to manually decide an alternative trajectory to satisfy as many tasks as possible while maintaining a low deviation cost due to fuel constraint. Additionally, various constraints on tasks and original flight trajectory must be satisfied as well, such as temporal and Quality of Service constraints. We show a demo of a trajectory recommendation framework consists of two approaches to generate an optimized trajectory with the above goals by increasing sensor utilization via task aggregation and scheduling. We demonstrate a trajectory recommendation system that accepts user inputs and outputs visualization of intermediate processes and final trajectory. © Springer International Publishing Switzerland 2015.
S. Yeung et al., "A Trajectory Recommendation System Via Optimizing Sensors Utilization in Airborne Systems (Demo Paper)," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9239, pp. 508-513, Springer Verlag, Aug 2015.
The definitive version is available at https://doi.org/10.1007/978-3-319-22363-6_31
14th International on Symposium on Spatial and Temporal Databases, SSTD 2015 (2015: Aug. 26-28, Hong Kong)
Keywords and Phrases
Quality of service; Trajectories, Airborne systems; Flight trajectory; Fuel constraints; Image capturing; Quality of Service constraints; Sensory system; Traditional approaches; Transmit imagery, Recommender systems
International Standard Serial Number (ISSN)
Article - Conference proceedings
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