Akkas Uddin Haque
Papers
1
Total Citations
10
H-Index
1
About
Akkas Uddin Haque is a researcher whose work centers on computer vision, robotics, and autonomous systems. His most notable contribution, "Obstacle Avoidance Using Stereo Camera" (2017), introduced a novel real-time algorithm designed to detect and respond to unexpected obstacles more rapidly than conventional approaches — a meaningful advancement in the field of autonomous navigation. By leveraging stereo camera technology, Haque addressed key limitations of existing obstacle avoidance methods, offering a more responsive and practical solution for real-world robotic applications. The paper has accumulated 10 citations, reflecting its relevance within the robotics and computer vision communities. His research speaks to the growing demand for intelligent, perception-driven systems capable of operating safely in dynamic environments — a challenge at the heart of modern robotics, autonomous vehicles, and human-robot interaction. For students and researchers exploring stereo vision-based navigation or real-time obstacle detection, Haque's work provides a foundational reference point that bridges theoretical algorithmic design with practical implementation, demonstrating a clear commitment to advancing autonomous systems through innovative sensing methodologies.
Research Focus
Key Achievements
Top Papers
- 1Obstacle Avoidance Using Stereo Camera10 citations · 2017