Using a proactive sensor-system in the Distributed Environment Model

Andreas Hermann; Stephan Matzka; Jörg Desel

doi:10.1109/IVS.2008.4621178

Using a proactive sensor-system in the Distributed Environment Model

Andreas Hermann, Stephan Matzka, Jörg Desel

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper we present the usage of the Distributed Environment Model (DEM) to supply a proactive sensor system. The proactive sensor-system is a novel approach which combines low-resolution range sensors with high-resolution range sensors. Its aim is to achieve a better cost-benefit ratio on getting accurate knowledge about the environment of a car. We describe the main concepts of the DEM and of the proactive sensor system. Furthermore, we show synergistic effects of the DEM environment knowledge base combined with the efficient object classification done by the proactive sensor system. Finally, an evaluation of the DEM and the proactive sensor system in real traffic scenarios is presented. © 2008 IEEE.

Original language	English
Title of host publication	2008 IEEE Intelligent Vehicles Symposium, IV
Pages	703-708
Number of pages	6
DOIs	https://doi.org/10.1109/IVS.2008.4621178
Publication status	Published - 2008
Event	2008 IEEE Intelligent Vehicles Symposium - Eindhoven, Netherlands Duration: 4 Jun 2008 → 6 Jun 2008

Conference

Conference	2008 IEEE Intelligent Vehicles Symposium
Abbreviated title	IV
Country/Territory	Netherlands
City	Eindhoven
Period	4/06/08 → 6/06/08

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10.1109/IVS.2008.4621178

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title = "Using a proactive sensor-system in the Distributed Environment Model",

abstract = "In this paper we present the usage of the Distributed Environment Model (DEM) to supply a proactive sensor system. The proactive sensor-system is a novel approach which combines low-resolution range sensors with high-resolution range sensors. Its aim is to achieve a better cost-benefit ratio on getting accurate knowledge about the environment of a car. We describe the main concepts of the DEM and of the proactive sensor system. Furthermore, we show synergistic effects of the DEM environment knowledge base combined with the efficient object classification done by the proactive sensor system. Finally, an evaluation of the DEM and the proactive sensor system in real traffic scenarios is presented. {\textcopyright} 2008 IEEE.",

author = "Andreas Hermann and Stephan Matzka and J{\"o}rg Desel",

year = "2008",

doi = "10.1109/IVS.2008.4621178",

language = "English",

isbn = "9781424425693",

pages = "703--708",

booktitle = "2008 IEEE Intelligent Vehicles Symposium, IV",

note = "2008 IEEE Intelligent Vehicles Symposium, IV ; Conference date: 04-06-2008 Through 06-06-2008",

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AU - Hermann, Andreas

AU - Matzka, Stephan

AU - Desel, Jörg

PY - 2008

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N2 - In this paper we present the usage of the Distributed Environment Model (DEM) to supply a proactive sensor system. The proactive sensor-system is a novel approach which combines low-resolution range sensors with high-resolution range sensors. Its aim is to achieve a better cost-benefit ratio on getting accurate knowledge about the environment of a car. We describe the main concepts of the DEM and of the proactive sensor system. Furthermore, we show synergistic effects of the DEM environment knowledge base combined with the efficient object classification done by the proactive sensor system. Finally, an evaluation of the DEM and the proactive sensor system in real traffic scenarios is presented. © 2008 IEEE.

AB - In this paper we present the usage of the Distributed Environment Model (DEM) to supply a proactive sensor system. The proactive sensor-system is a novel approach which combines low-resolution range sensors with high-resolution range sensors. Its aim is to achieve a better cost-benefit ratio on getting accurate knowledge about the environment of a car. We describe the main concepts of the DEM and of the proactive sensor system. Furthermore, we show synergistic effects of the DEM environment knowledge base combined with the efficient object classification done by the proactive sensor system. Finally, an evaluation of the DEM and the proactive sensor system in real traffic scenarios is presented. © 2008 IEEE.

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U2 - 10.1109/IVS.2008.4621178

DO - 10.1109/IVS.2008.4621178

M3 - Conference contribution

SN - 9781424425693

SP - 703

EP - 708

BT - 2008 IEEE Intelligent Vehicles Symposium, IV

T2 - 2008 IEEE Intelligent Vehicles Symposium

Y2 - 4 June 2008 through 6 June 2008

ER -

Using a proactive sensor-system in the Distributed Environment Model

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