RT Journal Article
T1 Application of MLS data to the assessment of safety-related features in the surrounding area of automaticallly detected pedestrian crossings
A1 Soilán Rodríguez, Mario
A1 Riveiro Rodríguez, Belén
A1 Sánchez Rodríguez, Ana
A1 González De Santos, Luis Miguel
K1 3305.06 Ingeniería Civil
AB During the last few years, there has been a huge methodological development regarding the automatic processing of 3D point cloud data acquired by both terrestrial and aerial mobile mapping systems, motivated by the improvement of surveying technologies and hardware performance. This paper presents a methodology that, in a first place, extracts geometric and semantic information regarding the road markings within the surveyed area from Mobile Laser Scanning (MLS) data, and then employs it to isolate street areas where pedestrian crossings are found and, therefore, pedestrians are more likely to cross the road. Then, different safety-related features can be extracted in order to offer information about the adequacy of the pedestrian crossing regarding its safety, which can be displayed in a Geographical Information System (GIS) layer. These features are defined in four different processing modules: Accessibility analysis, traffic lights classification, traffic signs classification, and visibility analysis. The validation of the proposed methodology has been carried out in two different cities in the northwest of Spain, obtaining both quantitative and qualitative results for pedestrian crossing classification and for each processing module of the safety assessment on pedestrian crossing environments.
PB ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
SN 16821777
YR 2018
FD 2018-05-30
LK http://hdl.handle.net/11093/1344
UL http://hdl.handle.net/11093/1344
LA eng
NO ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLII-2, 1067-1074 (2018)
NO Ministerio del Interior | Ref. SPIP-2017-02122
DS Investigo
RD 09-oct-2024