Abstract:
This research details the construction of an environmental map as well as road surface identification based on a coaxial two-wheel robot. The proposed system utilizes ROS and SLAM algorithm for indoor/outdoor environment mapping from sensor data and road-surface discriminator based on attitude estimation and image processing. From the research, environmental maps of various road surfaces were constructed and road types successfully identified with 80% accuracy using Deep Learning.
Keywords—Coaxial Two-Wheeled Robots, Environment Maps, SLAM, Deep Learning.
Description:
Proceedings of the Sustainable Research and Innovation Conference, JKUAT Main Campus, Kenya 8- 10 May, 2019
