Slaven Pehar
Papers
1
Total Citations
11
H-Index
1
About
Slaven Pehar is a researcher whose work sits at the intersection of robotics, computer vision, and intelligent systems. His most cited paper, "Comparison of Edge Detection Methods for Obstacles Detection in a Mobile Robot Environment" (2016), has garnered 11 citations and addresses a fundamental challenge in autonomous navigation: enabling mobile robots to perceive and avoid obstacles in unknown environments. By systematically evaluating edge detection techniques, Pehar contributed practical insights into how robots can interpret visual data to safely traverse complex spaces. This work is particularly relevant for the development of autonomous systems in industrial, service, and exploratory robotics. Beyond this key contribution, Pehar’s research reflects a broader interest in sensor-based perception and real-time decision-making for mobile platforms. His findings help bridge the gap between theoretical computer vision algorithms and their deployment in resource-constrained robotic systems. For students and researchers in robotics and AI, Pehar’s work offers a grounded example of how classical image processing methods remain vital for modern autonomous navigation challenges.
Research Focus
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Top Papers
- 1