视力变压器定制用于环境检测和碰撞预测,以协助视力受损者
Nasrin Bayat1, Jong-Hwan Kim2, Renoa Choudhury3
1Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA.
Journal of imaging
|August 25, 2023
概括
本研究介绍了一种使用视觉转换器的AI导航系统,用于实时对象检测和多式联络反以避免碰撞. 该系统提高了视力受损人士的流动性和安全性.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 视障人士在独立导航方面面临重大挑战.
- 现有的辅助技术往往缺乏实时的环境意识和直观的反机制.
研究的目的:
- 为视力受损者开发和评估一种新的导航和避免碰撞系统.
- 利用视觉转换器和多式联络反来提高情境意识.
主要方法:
- 实现视觉转换器,以准确实时检测物体.
- 开发用于语义细分和轨迹矢量生成检测到的对象的算法.
- 集成音频和振动反模块用于多式联机碰撞警告.
主要成果:
- 该系统在各种室内和室外条件下实现了对象分类95%的准确性.
- 具有实时识别和预测潜在障碍物轨迹的能力.
- 成功集成多式联网反来传递碰撞风险.
结论:
- 拟议的系统,集成视觉变压器和多式联络反,显示了实际导航辅助的重大前景.
- 该技术提供了一种可靠和可行的解决方案,以提高视力受损用户的独立性和安全性.
- 进一步的实验验证将评估系统在现实场景中的可用性和效率.
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