Zeinab Hajiabolhasani
Papers
2
Total Citations
47
H-Index
2
About
Zeinab Hajiabolhasani’s research bridges computer vision and engineering education, with a focus on intelligent navigation and autonomous systems. Her most influential work, “Vanishing point detection in corridors: using Hough transform and K-means clustering” (2012, 45 citations), introduces a novel, computationally efficient method for determining heading direction in corridor environments. By combining Hough transform for line detection with K-means clustering for grouping, her approach significantly improves the accuracy and robustness of vanishing point estimation—a critical challenge for steering vehicles and robots in indoor settings. This contribution has been widely cited by researchers developing vision-based navigation for autonomous platforms. Beyond her technical contributions, Hajiabolhasani has advanced engineering pedagogy through her work on curriculum development. Her paper “Development of Mechatronic System Integration Course for Senior Students in Mechatronics Engineering at the University of South Australia” (2012) reflects her commitment to bridging theoretical knowledge with hands-on system integration skills, preparing students for real-world mechatronic challenges. With a citation count of 47 across her published works, Hajiabolhasani’s impact lies in both advancing autonomous navigation algorithms and shaping the next generation of mechatronics engineers through innovative teaching practices. Her work continues to inform research in corridor navigation and engineering education.
Research Focus
Key Achievements
Top Papers
- 1
- 2