Ashish R. Derhgawen
Papers
1
Total Citations
6
H-Index
1
About
Ashish R. Derhgawen is a researcher in mobile robotics and computer vision, with a focus on real-time perception for autonomous navigation. His most cited work, "Vision based obstacle detection using 3D HSV histograms" (2011), introduces a computationally efficient algorithm that enables a mobile robot to detect unknown obstacles using only a single color camera—a significant departure from more sensor-heavy approaches. By leveraging color HSV histograms to classify individual pixels as obstacle or ground, Derhgawen’s method achieves fast, reliable obstacle detection without requiring depth sensors or prior environmental knowledge. This contribution addresses a core challenge in robotics: safe, low-cost navigation in unstructured settings. While his citation count (6) reflects a niche but impactful contribution, the work demonstrates a principled approach to simplifying perception pipelines, making it accessible for resource-constrained platforms. Derhgawen’s research underscores the potential of vision-only systems in robotics, offering a practical solution for obstacle avoidance that remains relevant for students and engineers developing lightweight autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Vision based obstacle detection using 3D HSV histograms6 citations · 2011