Olusanya Y. Agunbiade
Vaal University of Technology, Tshwane University of Technology, University of the Western Cape
Papers
8
Total Citations
56
H-Index
4
About
Olusanya Y. Agunbiade is a robotics and computer vision researcher whose work centers on autonomous navigation, with a particular focus on Simultaneous Localization and Mapping (SLAM) and terrain detection systems. Over the course of his career, Agunbiade has made significant contributions to advancing the field of mobile robotics by exploring how autonomous robots can independently construct environmental maps while simultaneously locating themselves within those environments — a foundational challenge in robot autonomy. His most impactful work, a 2018 review on Vision SLAM (VSLAM), has garnered 25 citations and remains a key reference for researchers entering the field. Complementing this, his parallel publications on SLAM applications to autonomous robots have collectively contributed to a broader understanding of the computational challenges involved. Notably, Agunbiade has also addressed practical real-world obstacles, including illumination variation, noisy environments, and the "kidnapping problem" in robots — challenges explored in his 2021 and 2024 studies. His earlier work on drivable terrain detection and road recognition in shadow scenarios further demonstrates a consistent commitment to making autonomous systems robust under difficult environmental conditions. With a growing body of work accumulating over 50 citations, Agunbiade represents a dedicated contributor to intelligent autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1A Review on Vision Simultaneous Localization and Mapping (VSLAM)25 citations · 2018
- 2Simultaneous Localization and Mapping in Application to Autonomous Robot10 citations · 2018
- 3
- 4
- 5
- 6
- 7
- 8
Key Collaborators
Related papers
- Simultaneous Localization and Mapping in Application to Autonomous Robot
- Image Enhancement from Illumination Variation to Improve the Performance of Simultaneous Localization and Mapping Technique
- A Review: Simultaneous Localization and Mapping in Application to Autonomous Robot
- Framework for Visual Simultaneous Localization and Mapping in a Noisy Static Environment
- Review of Autonomous SLAM Mapping and Navigation for Unknown Environment Exploration
Researchers in this area
Labs working in this area
If you're exploring the applied side
Commercial systems in adjacent areas you may find useful as a starting point. This is not a claim that the research here is used in them — academia and industry often move on separate tracks.
- Related commercial systems
Alphasense PositionSevensense
SEAMSMAP IV, Inc.
Go1Unitree
Suggested by topic similarity — not advertising or endorsement.