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Title:

Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems

Document type:
Zeitschriftenaufsatz
Author(s):
Schwab, Benedikt; Beil, Christof; Kolbe Thomas H.
Abstract:
Automated driving technologies offer the opportunity to substantially reduce the number of road accidents and fatalities. This requires the development of systems that can handle traffic scenarios more reliable than the human driver. The extreme number of traffic scenarios, though, causes enormous challenges in testing and proving the correct system functioning. Due to its efficiency and reproducibility, the test procedure will involve environment simulations to which the system under test is ex...     »
Keywords:
GISPro_CityGML; GISTop_CityModeling; LOCenter; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model; GISPro_SAVe
Journal title:
Sustainability
Year:
2020
Journal volume:
12
Year / month:
2020-05
Quarter:
2. Quartal
Month:
May
Journal issue:
9
Pages contribution:
3799
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.3390/su12093799
WWW:
https://www.mdpi.com/2071-1050/12/9/3799
Publisher address:
MDPI
E-ISSN:
2071-1050
Status:
Verlagsversion / published
Submitted:
30.03.2020
Accepted:
28.04.2020
Date of publication:
07.05.2020
Semester:
SS 20
TUM Institution:
Lehrstuhl für Geoinformatik
CC license:
by, http://creativecommons.org/licenses/by/4.0
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