C. R. Prashanth

Papers

Total Citations

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About

C. R. Prashanth is a researcher at the forefront of artificial intelligence and autonomous systems, with a particular focus on computer vision and intelligent decision-making for robotic platforms. His most cited work, "Obstacle Detection & Elimination of Shadows for an Image Processing Based Automated Vehicle" (2013, 18 citations), addresses a critical challenge in autonomous navigation: the reliable detection of obstacles in real-world environments where shadows can confuse vision systems. By developing an image processing algorithm that effectively eliminates shadow interference, Prashanth has contributed a practical solution that enhances the safety and accuracy of automated vehicles. This work, situated within the broader trend of creating robotic devices capable of spontaneous and effective decisions in demanding situations, demonstrates his commitment to bridging the gap between theoretical AI and real-world application. His research is particularly valuable for students and engineers working on autonomous navigation, offering a foundational approach to overcoming environmental noise in visual data. Prashanth’s contributions underscore the importance of robust perception systems in the evolution of intelligent transportation.