Yaman Rawas Kalaji
Papers
1
Total Citations
5
H-Index
1
About
Yaman Rawas Kalaji is a researcher whose work lies at the intersection of autonomous systems, computer vision, and embedded hardware design. His most cited contribution, "Design and implementation of auto car driving system with collision avoidance" (2018, 5 citations), introduces a low-cost, retrofittable robotic system that transforms conventional petrol cars with automatic gearboxes into driverless vehicles. The system integrates three core components: a computer vision module for environmental perception, a control unit for navigation, and collision avoidance algorithms—demonstrating a practical, accessible approach to autonomous driving. This work highlights Kalaji’s focus on bridging advanced robotics with real-world, cost-sensitive applications. While his citation count remains modest, the project’s emphasis on affordability and modularity underscores its potential impact on developing regions or educational contexts where high-end autonomous platforms are inaccessible. Kalaji’s research reflects a commitment to democratizing self-driving technology, offering a blueprint for converting everyday vehicles into intelligent, safe, and autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1