Agus Harjoko
Papers
7
Total Citations
35
H-Index
3
About
Agus Harjoko is a leading figure in computer vision and robotics, whose work bridges the gap between intelligent perception and autonomous navigation. His research primarily focuses on pedestrian detection, vision-based robot navigation, and the complex dynamics of vertical take-off and landing (VTOL) fixed-wing aircraft. A key contribution is his foundational survey on pedestrian detection in video, which has garnered 10 citations and serves as a critical reference for applications in intelligent vehicles and surveillance. Harjoko has also advanced the field of robotics with his work on vision-based navigation methods, earning 8 citations for a comprehensive review that distinguishes algorithms for both indoor and outdoor environments. His innovative approach extends to realistic 3D simulation, where he modeled the challenging transition flight of VTOL fixed-wing aircraft, considering ground effects—a topic of growing importance in modern aviation. Additionally, he has developed smart, real-time navigation systems for humanoid robots, enabling them to detect and track colored objects for distance estimation. Through these contributions, Harjoko has established himself as a versatile researcher, shaping the future of autonomous systems with practical, real-world applications.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Pedestrian Detection in Video10 citations · 2014
- 2
- 3Review of Vision-Based Robot Navigation Method8 citations · 2015
- 4Research of smart real-time robot navigation system3 citations · 2016
- 5
- 6GRID-EDGE-DEPTH MAP BUILDING EMPLOYING SAD WITH SOBEL EDGE DETECTOR2 citations · 2017
- 7