Quantifying the influence of rain in LiDAR performance

Measurement: Journal of the International Measurement Confederation

Volumn 95, Issue , 2017, Pages 143-148

  Filgueira, A ^a   Gonzalez Jorge H ^a   Laguela S ^a,b   Diaz Vilarino L ^a,b   Arias, P ^a  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF SALAMANCA   (Spain)

Author keywords

Autonomous vehicle; LiDAR; Meteorology

Indexed keywords

METEOROLOGY; PAVEMENTS; RAIN;

AUTONOMOUS VEHICLES; DROP SIZE DISTRIBUTION; EXPERIMENTAL PROCEDURE; LIDAR INTENSITIES; LIDAR SYSTEMS; RAIN-INTENSITY; RANGE MEASUREMENTS; TARGET MATERIALS;

OPTICAL RADAR;

EID: 84991688066     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2016.10.009     Document Type: Article

References (17)

1. [1] Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., Winner, H., Three decades of driver assistance systems: review and future perspectives. IEEE Intell. Transport. Syst. 6:4 (2014), 6–22.
2. [2] Li, L., Wen, D., Zheng, N.N., Shen, L.C., Cognitive cars: a new frontier for ADAS research. IEEE Trans. Intell. Transp. Syst. 13:1 (2012), 395–407.
3. [3] Akamatsu, M., Green, P., Bengler, K., Automotive technology and human factors research: past, present, and future. Int. J. Veh. Technol., 2013, 526180.
4. [4] R. Félix, J. Economou, K. Knowles, Driverless vehicles and LiDAR: Evaluation of possible security treads on the open road, SAE Technical Papers, 2015 (2015), code 111931.
5. [5] Varela-González, M., González-Jorge, H., Riveiro, B., Arias, P., Automatic filtering of vehicles from mobile LiDAR datasets. Measurement 53 (2014), 215–223.
6. [6] Holgado-Barco, A., González-Aguilera, D., Arias-Sánchez, P., Martínez-Sánchez, J., An automated approach to vertical roa characterization using mobile LiDAR systems: longitudinal profiles and cross-sections. ISPRS J. Photogramm. Remote Sens. 96 (2014), 28–37.
7. [7] González-Jorge, Higinio, Rodríguez-Gonzálvez, Pablo, González-Aguilera, Diego, Varela-González, Maria, Metrological comparison of terrestrial laser scanning systems Riegl LMSZ390i and Trimble GX. Opt. Eng., 50(11), 2011 116201 1–10.
8. [8] González-Jorge, H., Riveiro, B., Armesto, J., Arias, P., Standard artifact for the geometric verification of terrestrial laser scanning systems. Opt. Laser Technol. 43 (2011), 1249–1256.
9. [9] D.D. Lichti, Terrestrial laser scanner self calibration: correlation sources and their mitigation, ISPRS J. Photogramm. Remote Sens. 65 (210) 93–102.
10. [10] Puente, I., González-Jorge, H., Martínez-Sánchez, J., Arias, P., Review of mobile mapping and surveying technologies. Measurement 46 (2013), 21–45.
11. [11] Lichtti, D.D., Spectral filtering and classification of terrestrial laser scanner point clouds. Photogramm. Rec. 20 (2005), 218–240.
12. [12] Petri, G., Mobile mapping systems: an introduction to the technology. Geoinformatics 13:1 (2010), 32–43.
13. [13] Jaakkola, A., Hyyppä, J., Kukko, A., Retrieval algorithms for road surface modeling using laser-based mobile mapping. Sensors 8:9 (2008), 5238–5249.
14. [14] Díaz-Vilariño, L., González-Jorge, H., Bueno, M., Arias, P., Puente, I., Automatic classification of urban pavements using mobile LiDAR data and roughness descriptors. Constr. Build. Mater. 102 (2016), 208–215.
15. [15] González-Jorge, H., González-Aguilera, D., Rodríguez-Gonzálvez, P., Arias, P., Monitoring biological crusts in civil engineering structures using intensity data from terrestrial laser scanners. Constr. Build. Mater. 31 (2012), 119–128.
16. [16] Meteogalicia < http://www.meteogalicia.es> (Last Access: 25/03/2016).
17. [17] ASTER Spectral Library < http://speclib.jpl.nasa.gov/>.