基于事件的立体声深度估计:一项调查
概括
本调查提供了基于事件的立体声深度估计的全面概述,这是3D导航的关键技术. 它审查了深度学习方法和数据集,为未来的研究提供了洞察力.
科学领域:
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
- 传感器技术 传感器技术
背景情况:
- 立体感应对于3D导航至关重要.
- 事件摄像机为机器感知提供高时间分辨率和动态范围.
- 基于事件的立体声深度估计是一个快速发展的领域.
研究的目的:
- 提供基于事件的立体声深度估计的全面调查.
- 审查深度学习方法和立体数据集.
- 确定挑战,并建议未来的研究方向.
主要方法:
- 立即和长期立体声方法的综合文献综述.
- 深度学习 (DL) 方法的广泛审查.
- 分析立体声数据集和创建基准.
主要成果:
- 该领域已经从电路设计发展到DL.
- 这项调查是第一个广泛审查DL方法和立体数据集的调查.
- 在基于事件的立体声深度估计中确定了优势和挑战.
结论:
- 取得了重大进展,但在准确性和效率方面仍然存在挑战.
- 需要新的基准来推动这一领域的发展.
- 该调查作为一个可访问的入口点和研究人员的实用指南.
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