Abstract
This paper presents a real-time automatic obstacle avoidance system using the depth map provided by a RGBD sensor mounted on a mobile robot. A set of intelligent fuzzy rules are designed to construct a safe path to avoid obstacles in the unknown environment. According to the experimental results, this system has good performance while compared with the previous approaches and can work in dark environment.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 55-56 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781479987443 |
| DOIs | |
| State | Published - 20 08 2015 |
| Event | 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan Duration: 06 06 2015 → 08 06 2015 |
Publication series
| Name | 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 |
|---|
Conference
| Conference | 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 |
|---|---|
| Country/Territory | Taiwan |
| City | Taipei |
| Period | 06/06/15 → 08/06/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Collision avoidance
- Flowcharts
- Indoor environments
- Mobile robots
- Navigation
- Robot sensing systems
Fingerprint
Dive into the research topics of 'Fuzzy-based obstacle avoidance for a mobile robot navigation in indoor environment'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver