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- Title
Landing sites detection using LiDAR data on manycore systems.
- Authors
Lorenzo, Oscar; Martínez, Jorge; Vilariño, David; Pena, Tomás; Cabaleiro, José; Rivera, Francisco
- Abstract
Helicopters are widely used in emergency situations, where knowing if a geographical location is adequate for landing is a critical issue, and it is far from being a straightforward task. In this work, we present a method to detect and classify landing sites from LiDAR data in parallel on multi- and manycore systems using OpenMP. Load balancing was identified as the main cause of poor performance because the computational cost depends mainly on the input data. Results for a set of LiDAR point clouds that represent different real scenarios were used as case studies in this work. Balancing strategies for three different multi- and manycore systems were analyzed. The proposed load balancing techniques increase performance up to three times from the unbalanced case.
- Subjects
LANDING (Aeronautics); LIDAR; LOAD balancing (Computer networks); SPACE rescue operations; CLASSIFICATION algorithms
- Publication
Journal of Supercomputing, 2017, Vol 73, Issue 1, p557
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-016-1912-7