Traffic Sign Detection and Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0095-2_18
Reference10 articles.
1. Dhanakshirur RR, Pillai P, Tabib RA, Patil U, Mudenagudi U (2019) A framework for lane prediction on unstructured roads. In: Thampi S, Marques O, Krishnan S, Li KC, Ciuonzo D, Kolekar M (eds) Advances in signal processing and intelligent recognition systems. SIRS 2018. Communications in computer and information science, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-13-5758-9_16LNCS Homepage. http://www.springer.com/lncs. Last accessed 21 Nov 2016
2. Dhar P, Abedin MdZ, Biswas T, Datta A (2017) Traffic sign detection—a new approach and recognition using convolution neural network. In: IEEE region 10 humanitarian technology conference (R10-HTC) 2017 IEEE
3. Nanal A, Motwani P, Pawar P, Nirhale R (2019) Automatic detection of road signs to control vehicle speed. Int J Comput Appl 178:36–39. https://doi.org/10.5120/ijca2019918966
4. Iyer NC et al (2020) Millimeter-wave AWR1642 RADAR for obstacle detection: au-tonomous vehicles. In: Saini H, Singh R, Tariq Beg M, Sahambi J (eds) Innovations in electronics and communication engineering. Lecture notes in networks and systems, vol 107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3172-9_10
5. Pattanashetty VB, Iyer NC, Viswanath HL (2018) Intellectual conveyance structure for travellers. In: Saeed K, Chaki N, Pati B, Bakshi S, Mohapatra D (eds) Progress in advanced computing and intelligent engineering. Advances in intelligent systems and computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_37
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