Abhilash Mane

National Institute of Standards and Technology

Papers

Total Citations

H-Index

About

Abhilash Mane is a researcher at the forefront of autonomous vehicle technology, with a specialized focus on the evaluation and validation of 3D LiDAR sensors for automated driving. His most-cited work, "Methods to evaluate 3D lidars used for automated driving" (2024), has already garnered 6 citations, reflecting the timely importance of his contributions to the field. Mane’s research addresses critical challenges in sensor performance assessment, providing systematic methodologies to benchmark LiDAR accuracy, reliability, and environmental robustness—key factors for safe self-driving systems. By developing rigorous evaluation frameworks, he enables engineers and researchers to compare sensor capabilities under real-world conditions, directly influencing the design of perception systems in autonomous vehicles. His work bridges the gap between sensor hardware and practical deployment, offering actionable insights for both industry and academia. As the autonomous driving sector rapidly evolves, Mane’s contributions are poised to shape standards for sensor validation, making his research a valuable resource for students and professionals seeking to understand the technical foundations of next-generation mobility.