Color vision for road scene interpretation

Frederic Sandt; Didier Aubert; Laurence Festas

doi:10.1117/12.164856

17 December 1993 Color vision for road scene interpretation

Frederic Sandt, Didier Aubert, Laurence Festas

Proceedings Volume 1989, Computer Vision for Industry; (1993) https://doi.org/10.1117/12.164856
Event: Electronic Imaging Device Engineering, 1993, Munich, Germany

Abstract

For ten years, unstructured road following has been the subject of many studies. Road following must support the automatic navigation, at reasonable speed, of mobile robots on irregular paths and roads, with heterogeneous surfaces and under variable lighting conditions. Civil and military applications of this technology include transportation, logistics, security and engineering. The definition of our lane following system requires an evaluation of the existing technologies. Although the various operational systems converge on a color perception and a region segmentation optimizing discrimination and stability respectively, the treatments and performances vary. In this paper, the robustness of four operational systems and two connected techniques are compared according to common evaluation criteria. We present the identification of typical situations that have been used to create the image data base, the experimental protocol designs to compare the performances of the techniques and the analysis of the experimental results.

Citation Download Citation

Frederic Sandt, Didier Aubert, and Laurence Festas "Color vision for road scene interpretation", Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); https://doi.org/10.1117/12.164856

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