Abstract
This paper is aimed at detecting and recognizing speed-limit signs in real-time. The recognition of speed-limit signs gives the necessary reminders and warnings to the drivers who may ignore the speed-limit signs. In the previous literatures, most of proposed schemes for real-time detection and recognition of traffic signs employed the software approach. It not only needs a large amount of data processing, but also requires a high demand of hardware. Therefore, we propose a hardware-software co-design scheme on FPGA, where regular computations are executed in parallel with hardware, resulting in detecting and recognizing speed-limit signs in real-time. The experiments show that our proposed scheme can detect and recognize a speed-limit sign in 62.558 ms. The detection rate is about 99 %. And the recognition rate is 100 %.
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References
de la Escalera A, Moreno LE, Salichs MA, Armingol JM (1997) Road traffic sign detection and classification. IEEE Trans Ind Electron 44:848–859
Hirose K, Asakura T, Aoyagi Y (2000) Real-time recognition of road traffic sign in moving scene image using new image filter. In: 26th annual conference of the IEEE Ind Electron Soc (IECON 2000) 3, Nagoya, pp 2207–2212
Janssen R, Ritter W, Stein F, Ott S (1993), Hybrid approach for traffic sign recognition. In: Intelligent vehicles symposium ‘93, pp 390–395
Martinovic A, Glavas G, Juribasic M, Sutic D, Kalafatic Z (2010), Real-time detection and recognition of traffic signs. In: The 33rd international convention MIPR0 2010 Opatija Croatia, pp 760–765
Ach R, Luth N, Techmer A (2008) Real-time detection of traffic signs on a multi-core processor. In: 2008 IEEE intelligent vehicles symposium, Eindhoven, The Netherlands pp 307–312
Estable S, Schick J, Stein F, Janssen R, Ott R, Ritter W et al (1994), A real-time traffic sign recognition system. In: Intelligent vehicles symposium ‘94, pp 213–218
Lafuente-Arroyo S, Maldonado-Bascon S, Gil-Jimenez P, Gomez-Moreno H (2008) An intra-image tracking algorithm for traffic sign recognition. In: IEEE international conference on vehicular electronics and safety, 259–264
Maldonado-Bascon S, Lafuente-Arroyo S, Siegmann P, Gomez-Moreno H, Acevedo-Rodriguez FJ (2008) Traffic sign recognition system for inventory purposes, In: IEEE intelligent vehicles symposium, pp 590–595
Muller M, Braun A, Gerlach J, Rosenstiel W, Nienhuser D, Zollner JM et al (2010) Design of an automotive traffic sign recognition system targeting a multi-core SoC implementation. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), Dresden, pp 532–537
Acknowledgments
This work was support, in part, by National Science Council, Republic of China, under Grant No. NSC 102-2221-E-011-067.
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Chen, HL., Chen, MS., Hu, SH. (2014). An Efficient Embedded System for the Detection and Recognition of Speed-Limit Signs. In: Park, J., Zomaya, A., Jeong, HY., Obaidat, M. (eds) Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8798-7_15
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DOI: https://doi.org/10.1007/978-94-017-8798-7_15
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