Navya Annapareddy

Papers

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About

Navya Annapareddy is a researcher advancing the field of autonomous vehicle perception through robust computer vision techniques. Her primary research focuses on enhancing safety-critical detection systems, particularly for vulnerable road users like pedestrians and cyclists. Her most-cited work, "A Robust Pedestrian and Cyclist Detection Method Using Thermal Images" (2021), addresses a key limitation of standard RGB-based approaches: poor performance in low-light or adverse weather conditions. By leveraging thermal imaging, Annapareddy’s method provides reliable detection where conventional vision systems fail, directly improving the safety of autonomous vehicles and delivery robots. This contribution has garnered early recognition with 4 citations, signaling its growing influence in the autonomous systems community. Her work sits at the intersection of thermal image processing and deep learning, offering practical solutions for real-world deployment. Annapareddy’s research is particularly valuable for students and engineers seeking to understand how sensor fusion and alternative imaging modalities can overcome the limitations of traditional computer vision in autonomous navigation, making her a notable emerging voice in this critical field.