Pedestrian detection with radar and computer vision.

Author(s)
Milch, S. & Behrens, M.
Year
Abstract

This paper presents a method for detecting people on-board a moving vehicle. The perception of the environment is performed through the fusion of an automotive radar sensor and a monocular vision system. The fusion uses a two-step approach for efficient object detection. In the first step, a target-list is generated from the radar sensor. The items in the list are hypotheses for the presence of people. In a second step, hypotheses are proved by the vision system. This method is considerably faster than a sole image processing solution. For the covering abstract see ITRD E123380.

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Publication

Library number
C 31214 (In: C 31161 b [electronic version only]) /71 /91 / IRRD E123433
Source

In: Proceedings of PAL® 2001 - Progress in Automobile Lighting, held at Darmstadt University of Technology, Laboratory of Lighting Technology, September 25-26 2001, Darmstädter Lichttechnik Volume 9, p. 657-664, 7 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.