Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Martin Haueis"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030712778
GCPR
GCPR
Safe feature-based vehicle localization requires correct and reliable association between detected and mapped localization landmarks. Incorrect feature associations result in faulty position estimates and risk integrity of vehicle localization. Depen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f62302cf7dacf78f17eeeb4eb59737a
https://doi.org/10.1007/978-3-030-71278-5_22
https://doi.org/10.1007/978-3-030-71278-5_22
Publikováno v:
ICRA
Reliable data association represents a main challenge of feature-based vehicle localization and is the key to integrity of localization. Independent of the type of features used, incorrect associations between detected and mapped features will provid
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
A major risk to reliable and accurate feature-based vehicle localization lies in the data association. Data association is the process of matching localization features that are extracted from the current sensor data with the corresponding landmarks
Autor:
Martin Hein, Philipp Bender, Uwe Franke, Andreas Tamke, Nicolai Schneider, Eberhard Kaus, Horst Mock, Markus Schreiber, Winfried Kronjäger, Hans Fritz, David Pfeiffer, Carsten Brenk, Maximilian Trepte, Armin Joos, Carsten Knöppel, Jochen Hipp, Martin Haueis, Martin Lauer, Mohammad Ghanaat, Clemens Rabe, Fridtjof Stein, Dominik Petrich, Nils Appenrodt, Christoph Stiller, Julius Ziegler, Frank Lindner, Ralf Herrtwich, Christoph G. Keller, Markus Enzweiler, Thao Dang, Eberhard Zeeb, Friedrich Erbs, Henning Lategahn, Markus Braun, Tobias Strauß
Publikováno v:
tm - Technisches Messen. 82:280-297
Zusammenfassung Im Jahre 1888 trat Bertha Benz die erste Überlandfahrt in der Geschichte des Automobils an. 125 Jahre später wiederholte die Mercedes Benz S-Klasse S 500 Intelligent Drive diese historische Fahrt von Mannheim nach Pforzheim – selb
Publikováno v:
ITSC
In any autonomous driving system, the map for localization plays a vital part that is often underestimated. The map describes the world around the vehicle outside of the sensor view and is a main input into the decision making process in highly compl
Autor:
Henning Lategahn, Philipp Bender, Markus Schreiber, Martin Hein, Markus Enzweiler, Uwe Franke, Markus Braun, Horst Mock, Friedrich Erbs, Ralf Herrtwich, Eberhard Zeeb, Mohammad Ghanaat, Fridtjof Stein, Carsten Brenk, Frank Lindner, Christoph G. Keller, Thao Dang, Nils Appenrodt, Christoph Stiller, Andreas Tamke, Jochen Hipp, Maximilian Trepte, Armin Joos, Clemens Rabe, Martin Haueis, Eberhard Kaus, Tobias Strauss, Hans Fritz, Julius Ziegler, David Pfeiffer, Carsten Knöppel
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 6:8-20
125 years after Bertha Benz completed the first overland journey in automotive history, the Mercedes Benz S-Class S 500 INTELLIGENT DRIVE followed the same route from Mannheim to Pforzheim, Germany, in fully autonomous manner. The autonomous vehicle
Autor:
J. Pontow, Norbert Pfeifer, F. Dolitzscher, Ilja Radusch, Martin Haueis, Jochen Hipp, Kay Massow, F. Hausler, B. Kwella
Publikováno v:
ITSC
High definition (HD) map data is a key feature to enable highly automated driving. With the advent of highly automated vehicles, car makers and map suppliers investigate new approaches to create and maintain HD maps by using on-board sensor data of s
Publikováno v:
ITSC
On the way to achieving higher degrees of autonomy for vehicles in complicated, ever changing scenarios, the localization problem poses a very important role. Especially the Simultaneous Localization and Mapping (SLAM) problem has been studied greatl
Publikováno v:
IEEE Intelligent Vehicles Symposium (IV 2016)
Intelligent Vehicles Symposium
Intelligent Vehicles Symposium
Significant advances have been achieved in mobile robot localization and mapping in dynamic environments, however these are mostly incapable of dealing with the physical properties of automotive radar sensors. In this paper we present an accurate and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf71205394de6e68f92e12879fab284
https://hdl.handle.net/21.11116/0000-0000-7A94-0
https://hdl.handle.net/21.11116/0000-0000-7A94-0
Autor:
Frank Schuster, Christoph G. Keller, Martin Haueis, M. Worner, F. Dolitzscher, Klaus Dietmayer
Publikováno v:
PLANS
Autonomous driving has become a focus for many universities and automotive companies alike, aiming for public introduction within the next few years. However, this requires assurance that the inherent risk in critical systems such as localization is