Results of a precrash application based on Laserscanner and short range Radars

Sylvia Pietzsch; Olivier Aycard; Julien Burlet; Trung Dung Vu; Thomas Hackbarth; Nils Appenrodt; Juergen Dickmann; Bernd Radig

doi:10.1109/IVS.2008.4621264

Results of a precrash application based on Laserscanner and short range Radars

Sylvia Pietzsch, Olivier Aycard, Julien Burlet, Trung Dung Vu, Thomas Hackbarth, Nils Appenrodt, Juergen Dickmann, Bernd Radig

TUM Emeriti of Excellence

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

8 Scopus citations

Abstract

In this paper, we present a vehicle safety application based on data gathered by a Laserscanner and 2 short range Radars that recognizes unavoidable collisions with stationary objects before they take place in order to trigger restraint systems. Two different software modules are compared that perform the processing of raw data and deliver a description of the vehicle's environment. A comprehensive experimental evaluation based on relevant crash and non-crash scenarios is presented.

Original language	English
Title of host publication	2008 IEEE Intelligent Vehicles Symposium, IV
Pages	367-372
Number of pages	6
DOIs	https://doi.org/10.1109/IVS.2008.4621264
State	Published - 2008
Event	2008 IEEE Intelligent Vehicles Symposium, IV - Eindhoven, Netherlands Duration: 4 Jun 2008 → 6 Jun 2008

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings

Conference

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

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10.1109/IVS.2008.4621264

Cite this

@inproceedings{ce63dfa526f4466a91711402e7bf9f7c,

title = "Results of a precrash application based on Laserscanner and short range Radars",

abstract = "In this paper, we present a vehicle safety application based on data gathered by a Laserscanner and 2 short range Radars that recognizes unavoidable collisions with stationary objects before they take place in order to trigger restraint systems. Two different software modules are compared that perform the processing of raw data and deliver a description of the vehicle's environment. A comprehensive experimental evaluation based on relevant crash and non-crash scenarios is presented.",

author = "Sylvia Pietzsch and Olivier Aycard and Julien Burlet and Vu, {Trung Dung} and Thomas Hackbarth and Nils Appenrodt and Juergen Dickmann and Bernd Radig",

year = "2008",

doi = "10.1109/IVS.2008.4621264",

language = "English",

isbn = "9781424425693",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

pages = "367--372",

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

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

}

Pietzsch, S, Aycard, O, Burlet, J, Vu, TD, Hackbarth, T, Appenrodt, N, Dickmann, J & Radig, B 2008, Results of a precrash application based on Laserscanner and short range Radars. in 2008 IEEE Intelligent Vehicles Symposium, IV., 4621264, IEEE Intelligent Vehicles Symposium, Proceedings, pp. 367-372, 2008 IEEE Intelligent Vehicles Symposium, IV, Eindhoven, Netherlands, 4/06/08. https://doi.org/10.1109/IVS.2008.4621264

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T1 - Results of a precrash application based on Laserscanner and short range Radars

AU - Pietzsch, Sylvia

AU - Aycard, Olivier

AU - Burlet, Julien

AU - Vu, Trung Dung

AU - Hackbarth, Thomas

AU - Appenrodt, Nils

AU - Dickmann, Juergen

AU - Radig, Bernd

PY - 2008

Y1 - 2008

N2 - In this paper, we present a vehicle safety application based on data gathered by a Laserscanner and 2 short range Radars that recognizes unavoidable collisions with stationary objects before they take place in order to trigger restraint systems. Two different software modules are compared that perform the processing of raw data and deliver a description of the vehicle's environment. A comprehensive experimental evaluation based on relevant crash and non-crash scenarios is presented.

AB - In this paper, we present a vehicle safety application based on data gathered by a Laserscanner and 2 short range Radars that recognizes unavoidable collisions with stationary objects before they take place in order to trigger restraint systems. Two different software modules are compared that perform the processing of raw data and deliver a description of the vehicle's environment. A comprehensive experimental evaluation based on relevant crash and non-crash scenarios is presented.

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U2 - 10.1109/IVS.2008.4621264

DO - 10.1109/IVS.2008.4621264

M3 - Conference contribution

AN - SCOPUS:57749198671

SN - 9781424425693

T3 - IEEE Intelligent Vehicles Symposium, Proceedings

SP - 367

EP - 372

BT - 2008 IEEE Intelligent Vehicles Symposium, IV

T2 - 2008 IEEE Intelligent Vehicles Symposium, IV

Y2 - 4 June 2008 through 6 June 2008

ER -

Results of a precrash application based on Laserscanner and short range Radars

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