Transportation Technologies for Sustainability

2013 Edition
| Editors: Mehrdad Ehsani, Fei-Yue Wang, Gary L. Brosch

Night Vision Pedestrian Warning in Intelligent Vehicles

Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-5844-9_782

Definition of the Subject and Its Importance

Today’s second generation of automotive night vision systems uses near-infrared (NIR) or far-infrared (FIR) cameras combined with integrated pedestrian detection systems. These systems direct the driver’s attention by showing all detected pedestrians on a display inside the car. This enables the driver to analyze an imminent situation earlier and react appropriately to prevent a potential hazardous situation, but the driver has to decide on his own whether a detected pedestrian is a potential risk or not. Thus, the next generation of night vision systems needs to integrate an additional warning component which signals to the driver only the relevant objects, that is, all objects on the road or near the road. Such a warning system needs to detect objects more reliably and sooner and has to provide information about the object’s position. Moreover, the system has to know the road course in front of the vehicle to do a threat analysis of the...

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Notes

Acknowledgments

This research was supported by PROPEDES (Predictive Pedestrian Protection at Night), BMBF FKZ 13N9750-13N9754, Germany.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Machine Perception Systems and ReliabilityEnvironment Perception Daimler AGUlmGermany