Diyan ul Imaan
Papers
1
Total Citations
2
H-Index
1
About
Diyan ul Imaan is a researcher whose work lies at the intersection of robotics, computer vision, and embedded systems. His early and most-cited paper, "Development of autonomous lane following and collision avoiding robot using image processing" (2012), demonstrates a foundational contribution to autonomous navigation. In this work, he designed a robot capable of lane-keeping using a camera-based vision system and forward collision avoidance via an infrared sensor, with all computations handled by an Atmel Mega644 microcontroller. This project, though early in his career, showcases his ability to integrate hardware and software for real-time autonomous control, a skill that underpins modern robotics and intelligent transportation systems. With 2 citations, the paper has served as a reference for researchers exploring low-cost, vision-based autonomous platforms. Imaan’s work reflects a practical, systems-oriented approach to engineering, emphasizing the implementation of algorithms on resource-constrained hardware. His contributions are particularly valuable for students and researchers interested in embedded robotics, computer vision, and the development of accessible autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1