Results of a precrash application based on laser scanner and short-range radars

Authors:
Sylvia Pietzsch;Trung Dung Vu;Julien Burlet;Olivier Aycard;Thomas Hackbarth;Nils Appenrodt;Jürgen Dickmann;Bernd Radig
Affiliations:
Chair for Image Understanding and Knowledge-Based Systems, Technische Universität München and Garching bei München, Germany and Daimler AG, Ulm, Germany;Laboratoire d'Informatique de Grenoble, Grenoble, France and INRIA Rhônes Alpes, Montbonnot-Saint-Martin, France;TRW-Conekt, Solihull, UK and Laboratoire d'Informatique de Grenoble, Grenoble, France and INRIA Rhônes Alpes, Montbonnot-Saint-Martin, France;Laboratoire d'Informatique de Grenoble, Grenoble, France and INRIA Rhônes Alpes, Montbonnot-Saint-Martin, France;Department for Environment Perception, Daimler AG, Ulm, Germany;Department for Environment Perception, Daimler AG, Ulm, Germany;Department for Environment Perception, Daimler AG, Ulm, Germany;Chair for Image Understanding and Knowledge-Based Systems, Technische Universität München, Garching bei München, Germany
Venue:
IEEE Transactions on Intelligent Transportation Systems
Year:
2009

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Abstract

In this paper, we present a vehicle safety application based on data gathered by a laser scanner and two short-range radars that recognize unavoidable collisions with stationary objects before they take place to trigger restraint systems. Two different software modules that perform the processing of raw data and deliver a description of the vehicle's environment are compared. A comprehensive experimental evaluation based on relevant crash and noncrash scenarios is presented.