Test of Cartographer based on Raspberry PI
DOI:
https://doi.org/10.54097/ajst.v2i2.1303Keywords:
Cartographer, SLAM.Abstract
The Raspberry Pi-based AI car uses a 4-wheeled Ackerman wheeled robot as a motion platform and is equipped with a high-performance lidar. In the ROS system under Ubuntu18, the test has passed the cartographer mapping algorithm. After experiments, it is found that the cartographer algorithm can also present a good and superior mapping effect under the Raspberry Pi platform.
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References
Abdurahman Dwijotomo et al. Cartographer SLAM Method for Optimization with an Adaptive Multi-Distance Scan Scheduler[J]. Applied Sciences, 2020, 10(1)
Hoshi Masahiko and Hara Yoshitaka and Nakamura Sousuke. Graph-based SLAM using architectural floor plans without loop closure[J]. Advanced Robotics, 2022, 36(15) : 715-723.
Eldemiry Amr et al. Autonomous Exploration of Unknown Indoor Environments for High-Quality Mapping Using Feature-Based RGB-D SLAM[J]. Sensors, 2022, 22(14) : 5117-5117.
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