Abstract
Road detection plays an important role in autonomous driving and driving assistant system. However, the performance of existing methods still suffers from illumination change or bad illumination. In this paper, a novel method is presented which fuses RGB and thermal features to solve these problems. Our method is accurate as well as light-weighted. Evaluating on our RGB-T dataset, the method can achieve 92.01% accuracy and real-time performances on low cost embedded devices.
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Acknowledgments
This work was supported by Zhuhai Specially Appointed Scholar Program (No. 67000-42070001).
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Thermal Images In a Day
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Zhang, W., Cai, X., Huang, K., Zhang, Z. (2018). A Novel RGB-T Based Real-Time Road Detection on Low Cost Embedded Devices. In: Bi, Y., Chen, G., Deng, Q., Wang, Y. (eds) Embedded Systems Technology. ESTC 2017. Communications in Computer and Information Science, vol 857. Springer, Singapore. https://doi.org/10.1007/978-981-13-1026-3_2
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DOI: https://doi.org/10.1007/978-981-13-1026-3_2
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