TY  - CONF
A1  - Labenski, Volker
A1  - Dobberstein, Jan
A1  - Schlender, Thomas
T1  - UR:BAN KA-WER: Accident data analysis and pre-crash simulation for the configuration and assessment of driver assistance systems in urban scenarios
N2  - The project UR:BAN "Cognitive assistance (KA)" aims at developing future assistance systems providing improved performance in complex city traffic. New state-of-the-art panoramic sensor technologies now allow comprehensive monitoring and evaluation of the vehicle environment. In order to improve protection of vulnerable road users such as pedestrians and cyclists, a particular objective of UR:BAN is the evaluation and prediction of their behaviour and actions. The objective of subproject "WER" is development support by providing quantitative estimates of traffic collisions at the very start and predict potential in terms of optimized accident avoidance and reduction of injury severity. For this purpose an integrated computer simulation toolkit is being devised based on real world accidents (GIDAS as well as video documented accidents), allowing the prediction of potential effectiveness and future benefit of assistance systems in this accident scenario. Subsequently, this toolkit may be used for optimizing the design of implemented assistance systems for improved effectiveness.
KW  - Aktives Sicherheitssystem
KW  - Antikollisionssystem
KW  - Deutschland
KW  - Fahrerassistenzsystem
KW  - Konferenz
KW  - Leistungsfähigkeit (allg)
KW  - Prognose
KW  - Schweregrad (Unfall
KW  - Verletzung)
KW  - Simulation
KW  - Stadt
KW  - Unfallrekonstruktion
KW  - Unfallverhütung
KW  - Accident prevention
KW  - Accident reconstruction
KW  - Active safety system
KW  - Collision avoidance system
KW  - Conference
KW  - Driver assistance system
KW  - Efficiency
KW  - Forecast
KW  - Germany
KW  - Severity (accid
KW  - injury)
KW  - Simulation
KW  - Urban area
Y1  - 2015
UR  - https://bast.opus.hbz-nrw.de/frontdoor/index/index/docId/1361
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:opus-bast-13619
N1  - Außerdem beteiligt: Robert Bosch GmbH
ER  -