PatrolBot self driving for map making based on laser and asus depth sensors

Authors:Beran Vítězslav, Plascencia Alfredo C.
Type:testing
Created:2018
Licence:required - licence fee
Files: 
+Type Name Title Size Last modified
iconpatbot_bagpack_cut.png183 KB2018-04-18 13:25:53
iconpatbotsd_report.pdf1,52 MB2018-04-24 07:08:32
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Keywords:ROS, localization, map making
Description:
Autonomous driving for map making of a clutter environments is a complex task due to the robot has to deal with precise measurements of the environment, in other words the robot must have a good field of view of the environment in turn.  This proposal mainly presents the functioning and description of the ROS package called patbot_self_driving that has to do with the navigation of a PatrolBot in the empty area of a indoor environment while making a 2D map by means of a laser hokuyo and a 3D depth asus sensors.

In order to extend the functionality of the application, a mapping bagpack solution was mounted on the robot. This solution is novel a way of odometry estimation from velodyne lidar point cloud scans. And, it is able to make a 3D map of the environment by means of two velodyne lidars which are placed on the top with a certain inclination to cover the whole area.



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Location:
UPGM
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