solution
所属分类：matlab编程
开发工具：matlab
文件大小：3KB
下载次数：2
上传日期：2014-12-17 20:12:33
上 传 者：
sassi2014
说明： This question also will be about 1-D Kalman filters, but replacing the Bayesian measurement update
with the prediction step of Kalman filters
文件列表:
solution (0, 2014-11-07)
solution\create_graph.py (942, 2014-11-07)
solution\create_path.py (3863, 2014-11-07)
solution\demo.sh (178, 2014-11-07)
solution\plot_paths.py (580, 2014-11-07)
This folder contains files related to the solution of Q3 of Assignment No.3 on using g2o to solve graphSLAM. You only need to (a) modify the path to g2o in the shell script "demo.sh" to point to the bin directory where you have stored g2o executable, and (b) run:
% source demo.sh
to see the results. Change the variable n in the file "create_path.py" to generate synthetic paths of the different lengths.
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