Analysis of Visual Camera Applications in Navigation Systems
DOI:
https://doi.org/10.54097/27vq6d11Keywords:
Visual camera, Navigation system, Multi-sensor fusion, SLAM; Deep learning.Abstract
This article elucidates that in the current development, the navigation systems are widely applied in a large number of equipment, and visual cameras are increasingly becoming the core component of such systems. Firstly, the article introduces the value of the application of visual cameras. Then, explain the hardware characteristics and advantages and disadvantages of monocular, binocular, and multi-camera vision systems. Subsequently, explores its complementary role in multi-sensor fusion with systems such as the Beidou Navigation Satellite System, as well as its integration with artificial intelligence. At last, the article looks ahead, explores the future development, and the future application of visual cameras. These cameras find extensive use in drones, assisted driving vehicles, and smart transportation systems. By integrating multiple sensors with artificial intelligence and deep learning, they significantly enhance navigation accuracy and reliability. Furthermore, future applications will expand into some new domains, such as utilizing wearable devices to guide people who have visual impairments.
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Copyright (c) 2026 Academic Journal of Science and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
