Implementation of probabilistic risk estimation for VRU safety
Implementation of probabilistic risk estimation for VRU safety
- New search for: Nunen, Ellen van
- New search for: Broek, Thijs van den
- New search for: Kwakkernaat, Maurice
- New search for: Kotiadis, Dimitrios
- New search for: Nunen, Ellen van
- New search for: Broek, Thijs van den
- New search for: Kwakkernaat, Maurice
- New search for: Kotiadis, Dimitrios
This paper describes the design, implementation and results of a novel probabilistic collision warning system. To obtain reliable results for risk estimation, preprocessing sensor data is essential. The work described herein presents all the necessary pre processing steps such as filtering, sensor fusion and target tracking. Risk estimation can be much more accurate if the behavior of road users is modeled correctly. Therefore, behavior models for individual road user (pedestrians, cyclists and drivers) are described in terms of probability density functions. These functions are based on statistical properties obtained from literature and experimental results. Preliminary results of road tests are presented in a scenario that includes a pedestrian and two cyclists. The results show that the approach successfully handles the unpredictable behavior of vulnerable road users and vehicles in both forward and sideward direction.
Document information
Implementation of probabilistic risk estimation for VRU safety
Einführung der stochastischen Risikopotential-Abschätzung von gefährdeten Verkehrsteilnehmern
2010
6 Seiten, 9 Bilder, 11 Quellen
(nicht paginiert)
Conference paper
Storage medium
English
Similar titles
| British Library Conference Proceedings | 2007
Probabilistic Vehicle Motion Modeling and Risk Estimation
| Springer Verlag | 2012
Highway safety: a probabilistic assessment of external risk factors
| British Library Conference Proceedings | 2000