A Smartphone-Based Obstacle Detection and Classification System for Assisting Visually Impaired People

Author:

Tapu Ruxandra,Mocanu Bogdan,Bursuc Andrei,Zaharia Titus

Publisher

IEEE

Cited by 87 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. ARAware: Assisting Visually Impaired People with Real-Time Critical Moving Object Identification;Sensors;2024-07-01

2. SPVINet: A Lightweight Multitask Learning Network for Assisting Visually Impaired People in Multiscene Perception;IEEE Internet of Things Journal;2024-06-01

3. Enhanced Environmental Perception for Visually Impaired: A Real-time Object Detection and Distance Estimation Approach;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

4. A Large-Scale Mixed-Methods Analysis of Blind and Low-vision Research in ACM and IEEE;The 25th International ACM SIGACCESS Conference on Computers and Accessibility;2023-10-22

5. Visual-LiDAR-Inertial Odometry: A New Visual-Inertial SLAM Method Based on an iPhone 12 Pro;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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