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Performance Evaluation Method for Mobile Computer Vision Systems using Augmented Reality

Jonas Nilsson (Institutionen för signaler och system, Mekatronik) ; Anders Ödblom ; Jonas Fredriksson (Institutionen för signaler och system, Mekatronik) ; Adeel Zafar (Institutionen för signaler och system) ; Fahim Ahmed (Institutionen för signaler och system)
IEEE Virtual Reality 2010, VR 2010; Waltham, MA; United States; 20 March 2010 through 24 March 2010 p. 19-22. (2010)
[Konferensbidrag, refereegranskat]

This paper describes a framework which uses augmented reality for evaluating the performance of mobile computer vision systems. Computer vision systems use primarily image data to interpret the surrounding world, e.g. to detect, classify and track objects. The performance of mobile computer vision systems acting in unknown environments is inherently difficult to evaluate since, often, obtaining ground truth data is problematic. The proposed novel framework exploits the possibility to add virtual agents into a real data sequence collected in an unknown environment, thus making it possible to efficiently create augmented data sequences, including ground truth, to be used for performance evaluation. Varying the content in the data sequence by adding different virtual agents is straightforward, making the proposed framework very flexible. The method has been implemented and tested on a pedestrian detection system used for automotive collision avoidance. Preliminary results show that the method has potential to replace and complement physical testing, for instance by creating collision scenarios, which are difficult to test in reality.

Nyckelord: Active safety, Augmented reality, Collision avoidance, Computer vision, I.3.8 [computer graphics]: application, I.4.8 [image processing and computer vision]: scene analysis, Performance evaluation

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Denna post skapades 2010-06-10. Senast ändrad 2017-07-04.
CPL Pubid: 122580


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Institutioner (Chalmers)

Institutionen för signaler och system, Mekatronik (2005-2017)
Institutionen för signaler och system (1900-2017)


Elektroteknik och elektronik

Chalmers infrastruktur

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