对于VSLAM的非线性后端优化方法,具有多凸的组合最大电流的标准
Lan Cheng1, Ting Wang1, Xinying Xu1
1College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
ISA transactions
|August 18, 2023
概括
这项研究引入了一种新的多凸结合最大电流量标准 (MCMCC) 用于视觉同步定位和映射 (VSLAM) 后端优化. MCMCC有效地处理非高斯噪声,提高了现实世界的场景的准确性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
- 优化算法 优化算法
背景情况:
- 视觉同步定位和映射 (VSLAM) 对机器人导航至关重要.
- 当前的VSLAM优化方法通常依赖于高斯噪声假设,由于图像非凸度和传感器噪声,这些假设在现实应用中经常被违反.
- 非高斯噪声显著降低了VSLAM系统的准确性和稳定性.
研究的目的:
- 为VSLAM开发一种新的后端优化方法,可稳定处理非高斯噪声.
- 提高VSLAM系统在具有挑战性的现实环境中的准确性和可靠性.
- 在标准高斯假设失败时为VSLAM提供更合适的优化方法.
主要方法:
- 为VSLAM后端优化开发了一个多凸组合最大流动标准 (MCMCC) 成本函数.
- 使用代的Levenberg-Marquardt算法优化了MCMCC成本函数.
- 拟议的MCMCC方法与ORB-SLAM3系统进行了整合和测试.
主要成果:
- 基于MCMCC的方法在公共室内和室外VSLAM数据集上显示出强大的性能.
- 实时性能在不同的环境中在RaceBot平台上得到验证.
- 对再投影错误的统计分析证实了VSLAM优化中存在非高斯特征.
结论:
- 拟议的MCMCC方法为VSLAM后端优化提供了与传统的高斯式方法相比的显著改进.
- 这种方法通过有效解决非高斯噪声,提高了VSLAM的准确性和可靠性.
- 这些发现表明MCMCC是未来VSLAM研发的有希望的方向.
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