Abstract
Autonomous mobility is increasing its popularity day by day. Mapping, localization, planning, and control are the main research topics of autonomous systems. The performance of localization directly depends on the map quality. This paper aims to show how to improve mapping performance, by increasing the measurements and number of tours. In this context, using the GMapping package of the ROS platform, the mapping performance of two lidars located in different regions and heights of the wheelchair, working separately and together, is examined. In addition, the mapping performance according to the number of tours in the mapped region is also tested. As a result, it is confirmed that the results obtained using two lidars are more successful than a single lidar. Additionally, loop closure's effect on increasing the map quality is shown in the paper.
Original language | English |
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Title of host publication | Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665488945 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 - Antalya, Turkey Duration: 7 Sept 2022 → 9 Sept 2022 |
Publication series
Name | Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 |
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Conference
Conference | 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 |
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Country/Territory | Turkey |
City | Antalya |
Period | 7/09/22 → 9/09/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Funding
ACKNOWLEDGMENT This work was supported by the Turkish Scientific and Technological Research Council (TUBITAK) under project no. 121E537.
Funders | Funder number |
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Turkish Scientific and Technological Research Council | |
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu | 121E537 |
Keywords
- ROS
- SLAM
- SSIM
- autonomous vehicles
- lidar
- wheelchair