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Full-Text Articles in Social and Behavioral Sciences
Robust Railroad Cable Detection In Rural Areas From Mls Point Clouds, Máté Cserép, Péter Hudoba, Zoltán Vincellér
Robust Railroad Cable Detection In Rural Areas From Mls Point Clouds, Máté Cserép, Péter Hudoba, Zoltán Vincellér
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
Monitoring of the railroad infrastructure is crucial for safety concerns and accident prevention. This task requires regular surveillance which is nowadays still carried out by expensive and time consuming manual visual inspections in many countries. The problem of railroad cable recognition (contact cables, catenary cables, return current cables) in rural areas based on LiDAR point clouds has it own methods, but current state of the art solutions suffer from extremely high computational load due the extensive size of the datasets. In this study we analyzed and compared novel robust solutions focusing on minimizing the assumptions (positions and distances of track …
Development Of Data Archiving And Distribution System For The Philippines' Lidar Program Using Object Storage Systems, Ken Abryl Eleazar Salanio, Carlo Santos, Ruby Magturo, Gene Paul Quevedo, Kenan Virtucio, Kenneth Langga, Mark Edwin Tupas, Enrico Paringit
Development Of Data Archiving And Distribution System For The Philippines' Lidar Program Using Object Storage Systems, Ken Abryl Eleazar Salanio, Carlo Santos, Ruby Magturo, Gene Paul Quevedo, Kenan Virtucio, Kenneth Langga, Mark Edwin Tupas, Enrico Paringit
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
The Philippines' Department of Science and Technology in collaboration with Higher Education Institutions, lead by the University of the Philippines, has embarked on a program for producing hazard maps on most major river systems in the Philippines. Realising the utility of LiDAR and its derived data sets, a concurrent program on resource assessment was also initiated, aimed to produce essential products that can be used in urban planning, resource planning, and other purposes these geospatial data might be able to provide. As a result, both programs produce immensely sizable datasets due for storage and distribution. Compiling them as one large …