Interurban visibility diagnosis from point clouds

Iglesias Valiño, Óscar; Díaz-Vilariño, Lucía; González-Jorge, Higinio; Lorenzo, Henrique

Use this link to cite:

http://hdl.handle.net/2183/40900

Interurban visibility diagnosis from point clouds

Files

Iglesias_Valino_Oscar_2017_Interurban_visibility_diagnosis_from_point_clouds.pdf (2.08 MB)

Identifiers

URI: http://hdl.handle.net/2183/40900

DOI: 10.5721/EuJRS20164935

Publication date

2016

Authors

Iglesias Valiño, Óscar

Díaz-Vilariño, Lucía

González-Jorge, Higinio

Lorenzo, Henrique

Bibliographic citation

Iglesias, Ó., Díaz-Vilariño, L., González-Jorge, H., & Lorenzo, H. (2016). Interurban visibility diagnosis from point clouds. European Journal of Remote Sensing, 49(1), 673–690. https://doi.org/10.5721/EuJRS20164935

Abstract

[Abstract]: We present an approach for automatic visibility analysis in interurban roads from point clouds. The methodology is based on a ray-tracing algorithm followed by an occlusion detection to identify potential obstacles between the driver and the theoretical position of pedestrians and cyclists. As a result, the area of visibility from each driver position is obtained. The method compares the performance and suitability of point clouds acquired from both Airborne and Mobile Laser Scanning. The methodology is tested in six real case studies. In most cases, results obtained from MLS are more accurate since the point clouds are acquired from a perspective similar to driver and they have higher resolution.