Shrutika Deokar
Papers
1
Total Citations
5
H-Index
1
About
Shrutika Deokar is a researcher focused on advancing intelligent transportation systems, with a particular emphasis on pedestrian safety and autonomous driving technologies. Her work centers on applying deep learning techniques to solve critical challenges in Advanced Driver Assistance Systems (ADAS), especially in complex, unstructured traffic environments common in developing countries. Her most-cited paper, "Identification Of Pedestrian Movement And Classification Using Deep Learning For Advanced Driver Assistance System" (2022), addresses the difficult task of predicting pedestrian behavior to prevent accidents while minimizing unnecessary traffic slowdowns. This research is notable for its practical application in real-world scenarios, such as India's busy roads, where pedestrian movement patterns are highly unpredictable. By classifying pedestrian direction and movement, Deokar's work contributes directly to making ADAS more responsive and context-aware. With 5 citations, this paper has already garnered attention for its timely relevance. Deokar's contributions are particularly valuable for researchers and engineers working on computer vision, autonomous vehicles, and traffic safety systems, offering a pathway toward more intelligent and human-aware driving assistance.
Research Focus
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Top Papers
- 1