2016
DOI: 10.1016/j.optlaseng.2015.09.003
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Fusion of 3D laser scanner and depth images for obstacle recognition in mobile applications

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Cited by 41 publications
(23 citation statements)
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“…MLS can be combined with other data information to address this issue. The fusion of 3D point clouds and 2D images can be applied for the semantic segmentation of large-scale urban scenes, obstacle recognition, road detection, and autonomous vehicle driving [19,97,[140][141][142]. There are different levels of data integration for MLS point clouds and other data sources in Table 2.…”
Section: Data Integrationmentioning
confidence: 99%
See 1 more Smart Citation
“…MLS can be combined with other data information to address this issue. The fusion of 3D point clouds and 2D images can be applied for the semantic segmentation of large-scale urban scenes, obstacle recognition, road detection, and autonomous vehicle driving [19,97,[140][141][142]. There are different levels of data integration for MLS point clouds and other data sources in Table 2.…”
Section: Data Integrationmentioning
confidence: 99%
“…The accuracy of results is usually not very high. [32,76,88,97,139,141,143] Medium First, processing one data source to obtain useful features or background knowledge. Then, based on this computed information, analyzing the other data to classify or extract final results.…”
Section: Data Integrationmentioning
confidence: 99%
“…vision cameras are used in Yankun et al 26 or laser range scanners in Budzan and Kasprzyk. 27 However, the typical Skyhook algorithm is favoured for its robustness and reliability.…”
Section: Introductionmentioning
confidence: 99%
“…It can be obtained using specialized vision systems or laser scanners aimed in front of the vehicle. These devices are expensive and measurements are subjected to different disturbances or distortions; for example, quality of the information depends on lighting conditions [18]. Thus, they require sophisticated algorithms of measurement data processing [19].…”
Section: Introductionmentioning
confidence: 99%