Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Marc Muntzinger"'
Autor:
Juergen Dickmann, Nils Appenrodt, Jens Klappstein, Hans-Ludwig Bloecher, Marc Muntzinger, Alfons Sailer, Markus Hahn, Carsten Brenk
Publikováno v:
IEEE Access, Vol 3, Pp 1233-1247 (2015)
For decades, radar has been applied extensively in warfare, earth observation, rain detection, and industrial applications. All those areas are characterized by requirements such as high quality of service, reliability, robustness in harsh environmen
Externí odkaz:
https://doaj.org/article/a6af1232691b40a58db81eeb96f5403e
Autor:
Carsten Brenk, Nils Appenrodt, Markus Hahn, Jens Klappstein, Marc Muntzinger, Juergen Dickmann, Alfons Sailer
Publikováno v:
2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM).
Automotive Radar has already found its way into nearly all car manufacturers portfolio, even for small car platforms. Over the decades, the performance requirements increased steadily from simple detector tasks in blind spot monitoring systems to mul
Autor:
Nils Appenrodt, Alfons Sailer, Carsten Brenk, Juergen Dickmann, Marc Muntzinger, Thomas Hackbarth, Jens Klappstein, Hans-Ludwig Bloecher, Markus Hahn
Publikováno v:
2014 11th European Radar Conference.
Publikováno v:
Intelligent Vehicles Symposium
As their functionality becomes more and more complex, future driver assistance systems rely on several different sensors in order to combine the advantages of different measurement principles. However, in multi-sensor fusion, measurements may arrive
Autor:
Balaganesh Dora, Marc Muntzinger, Bharanidhar Duraisamy, Antje Westenberger, Steffen Waldele, Klaus Dietmayer
Publikováno v:
ICRA
Automated driving applications require an environment perception that is reliable and fast. Multi-sensor fusion is a suitable means to combine the advantages of different measurement principles. However, this may lead to out-of-sequence measurements,
Publikováno v:
Advanced Microsystems for Automotive Applications 2013 ISBN: 9783319004754
This paper presents a time-to-collision estimation in the context of multi-sensor fusion. Several asynchronous sensors are fused where the measurements arrive at the fusion unit out-of-sequence, i.e., some measurements are temporally more delayed tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4288cecb8da7dd70c0a4e99b12d9db3f
https://doi.org/10.1007/978-3-319-00476-1_2
https://doi.org/10.1007/978-3-319-00476-1_2
Autor:
Martin Fritzsche, Antje Westenberger, Bharanidhar Duraisamy, Klaus Dietmayer, Marc Muntzinger, Michael Munz
Publikováno v:
Intelligent Vehicles Symposium
This paper addresses the problem of joint state and existence estimation in the presence of temporally asynchronous measurements. In multi-sensor fusion, the problem can occur that measurements from different sensors can arrive at the processing unit
Autor:
Klaus Dietmayer, Sebastian Zuther, Marc Muntzinger, Matthias R. Schmid, Mirko Mählisch, Michael Aeberhard, Jurgen Dickmann
Publikováno v:
Intelligent Vehicles Symposium
In an automotive pre-crash application, it is vital to quickly and accurately estimate the position and velocity of objects in the frontal area of the vehicle. To improve such estimations, several radar sensors are fused to detect objects. Due to the
Publikováno v:
ICVES
Recent literature has introduced several methods for processing an out-of-sequence measurement (OOSM) in tracking for both the 1-step-lag and /-step-lag case. However, in a realistic tracking application, a data association algorithm, such Joint Prob
Publikováno v:
2009 12th International IEEE Conference on Intelligent Transportation Systems.
In this paper, the merits of incorporating out-of-sequence measurements (OOSM) into a Pre-Crash application are investigated. When an imminent front crash is detected by the Pre-Crash system, the algorithm activates a reversible seat belt tightening