Author:
Śmieszek Mirosław,Dobrzańska Magdalena
Abstract
AbstractIn the paper an example of application of the Kalman filtering in the navigation process of automatically guided vehicles was presented. The basis for determining the position of automatically guided vehicles is odometry – the navigation calculation. This method of determining the position of a vehicle is affected by many errors. In order to eliminate these errors, in modern vehicles additional systems to increase accuracy in determining the position of a vehicle are used. In the latest navigation systems during route and position adjustments the probabilistic methods are used. The most frequently applied are Kalman filters.
Reference22 articles.
1. Discovering and restoring changes in object positions using an autonomous robot with laser rangefinders and;Tungadi;Robotics Autonomous Systems,2011
2. Reactive navigation and opportunistic localization for autonomous underground mining vehicles;Roberts;Information Sciences,2002
3. Perception network for the team of indoor mobile robots : concept architecture implementation of;Kasinski;Engineering Applications Artificial Intelligence,2001
4. Robust mobile robot localization in highly non - static environments;Jung;Autonomous Robots,2010
5. Digital filtering of surface topography : Part Separation of one - process surface roughness and waviness by Gaussian convolution , Gaussian regression and spline filters - the for and;Dobrzanski;Precision Engineering Journal of International Societies Precision Engineering Nanotechnology,2010
Cited by
15 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