Diseño e implementación de un sistema de visión artificial usando una técnica de mapeo y localización simultánea (SLAM) sobre una plataforma robótica móvil
Luz Karime Garzón Obregón, Luis Albero Forero Rincón, Oscar Manuel Duque Suárez
- 发表年份
- 2018
- 引用次数
- 2
- 访问权限
- 开放获取
摘要
The SLAM is one of the algorithms that were born with the intention of being able to position therobot in an unknown environment while navigating through it and using the above information fromits sensors to build a map of the environment in which it is located. . To achieve the mapping, severalinvestigations have used sensors of ultrasound type, LIDAR, even cameras using artificial vision. Theobjective of this research is focused on applying a SLAM technique on a mobile robotic platform. Toachieve this objective, a study is made of different existing SLAM methodologies that could meet theexpectations resulting in the LSD-SLAM, which with a suitable camera is able to obtain a semi-dense3D map of the environment in which it works. It also develops in ROS (Robot Operating System) definedas operating system, which should be taken into account for future research thanks to its great features.Once researched, selected and implemented, the programming of the system was started by means oftools and libraries which have support, in terms of reliable documentation and previously programmedfor their use.Keywords: Laptop, cooling, HUB-USB, Master Cooler.
关键词
相关论文
Artificial intelligence: a modern approach
1995
Are we ready for autonomous driving? The KITTI vision benchmark suite
Andreas Geiger, P Lenz, R. Urtasun
2012
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martı́n Abadi, Ashish Agarwal, Paul Barham 等 20 位作者
2016
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller 等 4 位作者
2013