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From Grid Maps to Parametric Free Space Maps - A Highly Compact, Generic Environment Representation for ADAS

Schreier, Matthias ; Willert, Volker ; Adamy, Jürgen (2013)
From Grid Maps to Parametric Free Space Maps - A Highly Compact, Generic Environment Representation for ADAS.
IEEE Intelligent Vehicles Symposium. Gold Coast, Australia (23.-26. June 2013)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We propose a highly compact, generic representation of the driving environment, so-called Parametric Free Space (PFS) maps, specifically suitable for future Advanced Driver Assistance Systems (ADAS) and bring them into line with existing metric representations known from mobile robotics. PFS maps combine a closed contour description of arbitrarily shaped outer free space boundaries with a representation of inner free space boundaries, respectively objects, by geometric primitives. A real-time capable algorithm is presented that obtains the representation by building upon an intermediate occupancy grid map-based environment representation generated from an automotive radar and a stereo camera. The proposed representation preserves all relevant information contained in a grid map – thus remaining function-independent – in a much more compact way, which is considered particularly important for the transmission via low data-rate automotive communication interfaces. Examples are shown in real traffic scenarios.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Schreier, Matthias ; Willert, Volker ; Adamy, Jürgen
Art des Eintrags: Bibliographie
Titel: From Grid Maps to Parametric Free Space Maps - A Highly Compact, Generic Environment Representation for ADAS
Sprache: Englisch
Publikationsjahr: 23 Juni 2013
Buchtitel: Proceedings of the IEEE Intelligent Vehicles Symposium
Veranstaltungstitel: IEEE Intelligent Vehicles Symposium
Veranstaltungsort: Gold Coast, Australia
Veranstaltungsdatum: 23.-26. June 2013
Kurzbeschreibung (Abstract):

We propose a highly compact, generic representation of the driving environment, so-called Parametric Free Space (PFS) maps, specifically suitable for future Advanced Driver Assistance Systems (ADAS) and bring them into line with existing metric representations known from mobile robotics. PFS maps combine a closed contour description of arbitrarily shaped outer free space boundaries with a representation of inner free space boundaries, respectively objects, by geometric primitives. A real-time capable algorithm is presented that obtains the representation by building upon an intermediate occupancy grid map-based environment representation generated from an automotive radar and a stereo camera. The proposed representation preserves all relevant information contained in a grid map – thus remaining function-independent – in a much more compact way, which is considered particularly important for the transmission via low data-rate automotive communication interfaces. Examples are shown in real traffic scenarios.

Freie Schlagworte: PRORETA3
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Robotik (ab 01.08.2022 umbenannt in Regelungsmethoden und Intelligente Systeme)
Hinterlegungsdatum: 01 Jul 2013 09:34
Letzte Änderung: 17 Jan 2020 11:31
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