A Comprehensive Study on Supermarket Indoor Navigation for Visually Impaired using Computer Vision Techniques
Author:
Affiliation:
1. Computer science and engineering Easwari engineering college,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10113898/10113899/10114030.pdf?arnumber=10114030
Reference13 articles.
1. Integrating Wearable Haptics and Obstacle Avoidance for the Visually Impaired in Indoor Navigation: A User-Centered Approach
2. Monocular Depth Estimation Based on Deep Learning:A Survey
3. Vision-Based Mobile Indoor Assistive Navigation Aid for Blind People
4. Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing
5. An Indoor Navigation App Using Computer Vision and Sign Recognition
Cited by 2 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. AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05
2. Innovation in Retail Accessibility: Smart Carts as Catalysts for Change in Supermarkets;Lecture Notes in Networks and Systems;2024
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