Quantitative evaluation of image processing algorithms for ill-structured road detection and tracking

Delphine Dufourd; Andre Dalgalarrondo

doi:10.1117/12.486893

30 September 2003 Quantitative evaluation of image processing algorithms for ill-structured road detection and tracking

Proceedings Volume 5083, Unmanned Ground Vehicle Technology V; (2003) https://doi.org/10.1117/12.486893
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

In a previous presentation at AeroSense 2002, we described a methodology to assess the results of image processing algorithms for ill-structured road detection and tracking. In this paper, we present our first application of this methodology on sixedge detectors and a database counting about 20,000 images. Our evaluation approach is based on the use of video image sequences, ground truth - reference results established by human experts - and assessment metrics which measure the quality of the image processing results. We need a quantitative, comparative and repetitive evaluation of many algorithms in order to direct future developments. The main scope of this paper consists in presenting the lessons learned from applying our methodology. More precisely, we describe the assessment metrics, the algorithms and the database. Then we describe how we manage to extract the qualities and weaknesses of each algorithm and to establish a global scoring. The insight we gain for the definition of assessment metrics is also presented. Finally, we suggest some promising directions for the development of road tracking algorithms and complementarities that must be sought after. To conclude, we describe future improvements for the database constitution, the assessment tools and the overall methodology.

Citation Download Citation

Delphine Dufourd and Andre Dalgalarrondo "Quantitative evaluation of image processing algorithms for ill-structured road detection and tracking", Proc. SPIE 5083, Unmanned Ground Vehicle Technology V, (30 September 2003); https://doi.org/10.1117/12.486893

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