Papers
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Total Citations
6
H-Index
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About
Shika Rao is a researcher whose work lies at the intersection of autonomous vehicle control and computer vision, with a particular focus on the practical implementation of vehicular lane-keeping systems. Her most cited work, "Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Using Electric Vehicles" (2022), stands out not only for its technical contributions but also for its innovative approach to undergraduate research mentorship. In this study, Rao led a team of four undergraduate students through a Research Experience for Undergraduates (REU) program, guiding them in the design and evaluation of robust lane-following algorithms using computer vision on electric vehicles. This work addresses a critical challenge in automated driving—ensuring reliable lane-keeping—while demonstrating a model for integrating hands-on research into engineering education. With 6 citations, this paper has already begun to influence discussions on accessible autonomous vehicle research. Rao’s contributions are particularly notable for bridging the gap between theoretical algorithm development and real-world testing, using electric vehicles as a testbed. Her work underscores the importance of mentorship in advancing the next generation of engineers and researchers in the rapidly evolving field of autonomous systems.
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Top Papers
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