Atif Fazili
Papers
1
Total Citations
2
H-Index
1
About
Dr. Atif Fazili is a robotics and embedded systems researcher whose work focuses on autonomous navigation and computer vision. His most-cited paper, "Development of autonomous lane following and collision avoiding robot using image processing" (2012), demonstrates his early contributions to intelligent vehicle systems. In this work, Fazili developed a robot capable of autonomous lane detection and forward collision avoidance by integrating camera-based image processing with an infrared sensor, all controlled by an Atmel Mega644 microcontroller. This research addresses fundamental challenges in autonomous driving—lane keeping and obstacle detection—using cost-effective embedded solutions. While his citation count (2) reflects a niche but focused impact, Fazili's work represents practical, hands-on engineering in mobile robotics. His research interests span autonomous navigation, computer vision, and embedded system design, with contributions that bridge theoretical algorithms and real-world implementation. Fazili's approach emphasizes low-cost, accessible robotics solutions, making his work valuable for students and researchers exploring entry-level autonomous systems. His paper remains a reference for those developing lane-following algorithms on resource-constrained platforms.
Research Focus
Key Achievements
Top Papers
- 1