Pedestrian and Vehicle Detection for Visually Impaired People-Reference-Cited by-同舟云学术

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Pedestrian and Vehicle Detection for Visually Impaired People

Published:2023 Issue: Volume: Page:37-51
ISSN:2195-3988
Container-title:Advances in Cognitive Science and Communications
language:
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Author:

Bhatlawande Shripad,Dhande Shaunak,Gupta Dhavanit,Madake Jyoti,Shilaskar Swati

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8086-2_4

Reference35 articles.

1. Kumar S, Sanaman G (2013) Preference and use of electronic information and resources by blind/visually impaired in NCR libraries in India. J Inf Sci Theory Pract 1(2):69–83

2. Elmannai W, Elleithy K (2017) Sensor-based assistive devices for visually-impaired people: current status, challenges, and future directions. Sensors 17(3):565

3. Kaczmirek L, Wolff KG (2007) Survey design for visually impaired and blind people. In: International conference on universal access in human-computer interaction. Springer, Berlin, pp 374–381

4. Benjamin JM, Ali NA, Schepis AF (1973) A laser cane for the blind. In: Proceedings of the San Diego biomedical symposium, vol 12, no 53–57

5. Bissitt D, Heyes AD (1980) An application of bio-feedback in the rehabilitation of the blind. Appl Ergon 11(1):31–33

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Pedestrian Detection using Hybrid ML Algorithms for Autonomous Vehicles;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

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