TY - GEN
T1 - Dynamic objects effect on visibility analysis in 3D urban environments
AU - Gal, Oren
AU - Doytsher, Yerach
PY - 2013
Y1 - 2013
N2 - This paper presents a unique formulation and concept of the dynamic object effect on constant objects, such as buildings, dealing with visibility problems in 3D urban environments. Dynamic objects in a 3D urban environment, such as cars, pedestrians and trees, are usually omitted from visibility analysis. In order to challenge this problem, we focus on modeling predicting and estimating dynamic objects' future location in the environment. We integrate all these factors into our visibility analysis and create a probabilistic visibility analysis, changed over time due to the dynamic character of these objects. Our probabilistic visibility concept takes into account 3D boxes and cylinders, generating a fast and exact analytic solution to dynamic and static objects; to illustrate our concept, we use web-cameras located at constant points in the treated environments in order to update our model in each time period from web source data and to analyze the environment. Dynamic objects prediction is based on validated models for driver behavior; pedestrians' walking routes, trees' displacement and wind effect. A real urban environment with dynamic objects approximated by 3D boxes and cylinders demonstrates our approach.
AB - This paper presents a unique formulation and concept of the dynamic object effect on constant objects, such as buildings, dealing with visibility problems in 3D urban environments. Dynamic objects in a 3D urban environment, such as cars, pedestrians and trees, are usually omitted from visibility analysis. In order to challenge this problem, we focus on modeling predicting and estimating dynamic objects' future location in the environment. We integrate all these factors into our visibility analysis and create a probabilistic visibility analysis, changed over time due to the dynamic character of these objects. Our probabilistic visibility concept takes into account 3D boxes and cylinders, generating a fast and exact analytic solution to dynamic and static objects; to illustrate our concept, we use web-cameras located at constant points in the treated environments in order to update our model in each time period from web source data and to analyze the environment. Dynamic objects prediction is based on validated models for driver behavior; pedestrians' walking routes, trees' displacement and wind effect. A real urban environment with dynamic objects approximated by 3D boxes and cylinders demonstrates our approach.
KW - 3D
KW - Spatial Analysis
KW - Urban Environments
KW - Visibility
UR - http://www.scopus.com/inward/record.url?scp=84875894752&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-37087-8_11
DO - 10.1007/978-3-642-37087-8_11
M3 - Conference contribution
AN - SCOPUS:84875894752
SN - 9783642370861
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 147
EP - 163
BT - Web and Wireless Geographical Information Systems - 12th International Symposium, W2GIS 2013, Proceedings
T2 - 12th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2013
Y2 - 4 April 2013 through 5 April 2013
ER -