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Journal Article

Citation

Nagel H, Enkelmann W, Struck G. Math. Comput. Model. 1995; 22(4-7): 185-212.

Copyright

(Copyright © 1995, Elsevier Publishing)

DOI

10.1016/0895-7177(95)00133-M

PMID

unavailable

Abstract

A digital road map provides partial knowledge about the operating environment for a road vehicle. If a road vehicle is equipped with a video camera, machine vision approaches can provide knowledge about the actual traffic environment around the vehicle. Experiences with a combination of two such approaches during the commissioning of a van for automatic driving on a private road network are reported, including experiences gathered during subsequent driving experiments on public roads and several improvement cycles for hardware and software. Based on these experiences, a second generation vehicle for automatic driving–a sedan–has been designed and commissioned. It is currently evaluated on public roads. This equipment provides an experimental platform for studying driver-vehicle interactions with the option to automatically evaluate actual traffic situations around the vehicle in real-time. Our equipment thus offers an approach to record and disentangle the multitude of factors which influence the–often subconscious–reactions of a driver. It is our working hypothesis that only an automatic, in-depth understanding of the actual traffic situation facilitates the design of a driver support system which is competent and flexible enough to win acceptance by a wide spectrum of users.

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