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Validation of advanced driver assistance systems by airborne optical imagery

Kurz, Franz and Rosenbaum, Dominik and Runge, Hartmut and Reinartz, Peter (2015) Validation of advanced driver assistance systems by airborne optical imagery. In: Proceedings of Mobil.TUM 2015, pp. 1-11. Mobil.TUM 2015 – International Scientific Conference on Mobility and Transport, 30. Juni - 1. Juli 2015, Munich, Germany.

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Abstract

Combinations of advanced driver assistance systems (ADAS) enabling semi-autonomous driving are now being brought to market. Recently developed ADAS are amongst others the adaptive break control, the lane keeping assist and the lane change support. The complexity in the development of these systems increases, as fully autonomous vehicles should become a reality within the next decade. The use of airborne optical sensors can be an independent tool to validate ADAS operating at test sites or in real traffic. The German Aerospace Center (DLR) has developed an optical camera system which is installed on a helicopter for a variety of traffic monitoring applications. With this system, it is possible to track a single test vehicle and to monitor the vehicle with the surrounding traffic situation. The camera system can acquire high resolution images with 54Mpix and a frame rate below 12fps or 4k (Ultra-HD) videos with 25fps. In combination with a high-end GNSS/IMU system, the images and videos can be timely registered within milliseconds precision and georeferenced with an absolute accuracy better than one meter, i.e. the instantaneous position, timestamp and speed of the test and surrounding vehicles can be derived very accurate. Additionally, the positions and speed of front and rear traffic can be determined automatically, which are necessary for the validation of ADAS. In combination with automatic image analysis tools, the road markings can be extracted, which allows the relative positioning of vehicles with respect to the road markings and the surrounding traffic within few centimetres. In this contribution, the potential of airborne optical imagery for the validation of ADAS is presented and demonstrated on example imagery and videos taken from motorways in Germany.

Item URL in elib:https://elib.dlr.de/96876/
Document Type:Conference or Workshop Item (Speech)
Title:Validation of advanced driver assistance systems by airborne optical imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kurz, Franzfranz.kurz (at) dlr.deUNSPECIFIED
Rosenbaum, Dominikdominik.rosenbaum (at) dlr.deUNSPECIFIED
Runge, Hartmuthartmut.runge (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:2015
Journal or Publication Title:Proceedings of Mobil.TUM 2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-11
Status:Published
Keywords:Advanced driver assistence systems, airborne remote sensing, validation
Event Title:Mobil.TUM 2015 – International Scientific Conference on Mobility and Transport
Event Location:Munich, Germany
Event Type:international Conference
Event Dates:30. Juni - 1. Juli 2015
Organizer:Technical University Munich
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Kurz, Dr.-Ing. Franz
Deposited On:24 Jun 2015 11:25
Last Modified:31 Jul 2019 19:53

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