Evaluation of different quality functions for road course estimation using imaging radar

Frederik Sarholz; Jens Klappstein; Fabian Diewald; Juergen Dickmann; Bernd Radig

doi:10.1109/IVS.2011.5940536

Evaluation of different quality functions for road course estimation using imaging radar

Frederik Sarholz, Jens Klappstein, Fabian Diewald, Juergen Dickmann, Bernd Radig

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Daimler-Benz AG

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

11 Scopus citations

Abstract

This work presents three different quality functions for road course estimation using an imaging radar sensor. The quality functions work on gridmap data. A gridmap integrates each measurement in chronological order. Range estimation is found out to be necessary on country roads and a solution is introduced. All quality functions are evaluated using a huge set of data consisting of highways and country roads. The driven trajectory is taken as ground truth for the evaluation. The results show that on highways the quality functions perform nearly equal. However on country roads there are differences. The huge error reduction achieved by the range estimation is pointed out. At the end the quality function performing best is determined.

Original language	English
Title of host publication	2011 IEEE Intelligent Vehicles Symposium, IV'11
Pages	882-887
Number of pages	6
DOIs	https://doi.org/10.1109/IVS.2011.5940536
State	Published - 2011
Event	2011 IEEE Intelligent Vehicles Symposium, IV'11 - Baden-Baden, Germany Duration: 5 Jun 2011 → 9 Jun 2011

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference	2011 IEEE Intelligent Vehicles Symposium, IV'11
Country/Territory	Germany
City	Baden-Baden
Period	5/06/11 → 9/06/11

Access to Document

10.1109/IVS.2011.5940536

Cite this

@inproceedings{6414638dc233434ba10f192299eec6cb,

title = "Evaluation of different quality functions for road course estimation using imaging radar",

abstract = "This work presents three different quality functions for road course estimation using an imaging radar sensor. The quality functions work on gridmap data. A gridmap integrates each measurement in chronological order. Range estimation is found out to be necessary on country roads and a solution is introduced. All quality functions are evaluated using a huge set of data consisting of highways and country roads. The driven trajectory is taken as ground truth for the evaluation. The results show that on highways the quality functions perform nearly equal. However on country roads there are differences. The huge error reduction achieved by the range estimation is pointed out. At the end the quality function performing best is determined.",

author = "Frederik Sarholz and Jens Klappstein and Fabian Diewald and Juergen Dickmann and Bernd Radig",

year = "2011",

doi = "10.1109/IVS.2011.5940536",

language = "English",

isbn = "9781457708909",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

pages = "882--887",

booktitle = "2011 IEEE Intelligent Vehicles Symposium, IV'11",

note = "2011 IEEE Intelligent Vehicles Symposium, IV'11 ; Conference date: 05-06-2011 Through 09-06-2011",

}

Sarholz, F, Klappstein, J, Diewald, F, Dickmann, J & Radig, B 2011, Evaluation of different quality functions for road course estimation using imaging radar. in 2011 IEEE Intelligent Vehicles Symposium, IV'11., 5940536, IEEE Intelligent Vehicles Symposium, Proceedings, pp. 882-887, 2011 IEEE Intelligent Vehicles Symposium, IV'11, Baden-Baden, Germany, 5/06/11. https://doi.org/10.1109/IVS.2011.5940536

Evaluation of different quality functions for road course estimation using imaging radar. / Sarholz, Frederik; Klappstein, Jens; Diewald, Fabian et al.
2011 IEEE Intelligent Vehicles Symposium, IV'11. 2011. p. 882-887 5940536 (IEEE Intelligent Vehicles Symposium, Proceedings).

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

TY - GEN

T1 - Evaluation of different quality functions for road course estimation using imaging radar

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AU - Klappstein, Jens

AU - Diewald, Fabian

AU - Dickmann, Juergen

AU - Radig, Bernd

PY - 2011

Y1 - 2011

N2 - This work presents three different quality functions for road course estimation using an imaging radar sensor. The quality functions work on gridmap data. A gridmap integrates each measurement in chronological order. Range estimation is found out to be necessary on country roads and a solution is introduced. All quality functions are evaluated using a huge set of data consisting of highways and country roads. The driven trajectory is taken as ground truth for the evaluation. The results show that on highways the quality functions perform nearly equal. However on country roads there are differences. The huge error reduction achieved by the range estimation is pointed out. At the end the quality function performing best is determined.

AB - This work presents three different quality functions for road course estimation using an imaging radar sensor. The quality functions work on gridmap data. A gridmap integrates each measurement in chronological order. Range estimation is found out to be necessary on country roads and a solution is introduced. All quality functions are evaluated using a huge set of data consisting of highways and country roads. The driven trajectory is taken as ground truth for the evaluation. The results show that on highways the quality functions perform nearly equal. However on country roads there are differences. The huge error reduction achieved by the range estimation is pointed out. At the end the quality function performing best is determined.

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Evaluation of different quality functions for road course estimation using imaging radar

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