Abstract
A lane detection method is presented based on original omni-directional images. The parameterized representation of curves in panoramic images is provided by analyzing the projection model of omni-directional multi-camera system. Those lines of lane markings in image can be described by the parameter of lane markings in world coordinate system. The results of line fitting into world coordinate system are directly used to fit lane model for both parallel lane and non-parallel lanes. The performance of feature extractor and effectiveness of proposed lane detection method is verified on real world data.
This work was supported by National Natural Science Foundation of China: 61075043 and 61375050.
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Li, C., Dai, B., Wu, T. (2015). Multi-lane Detection Based on Original Omni-Directional Images. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_77
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DOI: https://doi.org/10.1007/978-3-662-47200-2_77
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