Paper Info
Title
Autonomous mobile robot exploration in negative obstacle environment.
Abstract
Restricted 3D simultaneous localization and mapping (SLAM) can be achived in an environment that has negative and positive obstacles, using a 2D SLAM and a 3D mapping together. Exploration can utilize 2D navigation, which uses a 2D map constructed with respect to 3D map obstacles both negative and positive, and free areas. Robocup, Rescue League, Exploration 4 competition is designed to measure real platform autonomous mobile robot exploration capabilities in an negative obstacle scene. In this paper aforementioned exploration approach is implemented in a simulation environment created in Gazebo similar to Exploration 4 arena, using Robot Operating System (ROS).
Year
Venue
Keywords
2017
Signal Processing and Communications Applications Conference
2D localization,3D mapping,2D navigation,2D exploration,OctoMap,autonomous mobile robot,negative obstacles
Field
DocType
ISSN
Computer vision,Obstacle,3d mapping,Computer science,Artificial intelligence,Simultaneous localization and mapping,Mobile robot,Robot operating system
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
6
Authors
6
Name
Order
Citations
PageRank
Numan Keskin100.34
Erkan Uslu2105.23
Furkan Cakmak323.54
Nihal Altuntas401.69
M. Fatih Amasyali5123.33
Sirma Yavuz6165.70