An Electronic Guide Dog for the Blind Based on Artificial Neural Networks
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-90179-0_4
Reference9 articles.
1. Bhole, S., Dhok, A.: Deep learning based object detection and recognition framework for the visually-impaired. In: 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), pp. 725–728. IEEE (2020)
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3. CoinCheung: CoinCheung/BiSeNet. https://github.com/CoinCheung/BiSeNet, original-date: 2018–11-29T04:27:51Z
4. Elmannai, W., Elleithy, K.: Sensor-based assistive devices for visually-impaired people: current status, challenges, and future directions. Sensors 17(3), 565 (2017). https://doi.org/10.3390/s17030565, http://www.mdpi.com/1424-8220/17/3/565
5. Jie, X., Xiaochi, W., Zhigang, F.: Research and implementation of blind sidewalk detection in portable eta system. In: 2010 International Forum on Information Technology and Applications, vol. 2, pp. 431–434 (2010). https://doi.org/10.1109/IFITA.2010.187
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