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The paper deals with the classification of road infrastructure objects, particularly road surfaces and objects situated in the surrounding environment such as facades of buildings and pole-like objects. Attention is paid to the processing of three-dimensional models generated and reconstructed on the base of two-dimensional mobile laser scanning. There are different methods available to classify scanned objects; however, various shortcomings and limitations are usually identified about their practical usage. Most classification methods applied to the three-dimensional models are based on range data processing. We present our three-stage classification algorithm that has been proposed and implemented with motivation to explore how range and reflectivity data could be used separately or in a fusion to classify certain objects. The paper shows the results of practical experiments based on real data recordings and proves the usability of the proposed algorithm.

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This page is a summary of: Classification of the road infrastructure objects based on mobile two-dimensional laser scanning, May 2016, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/elektro.2016.7512116.
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