Anil Singh Yadav
Papers
1
Total Citations
29
H-Index
1
About
Anil Singh Yadav is a prominent researcher in autonomous systems and robotics, with a particular focus on the integration of software frameworks for self-driving vehicles. His most-cited work, "Design and development of software stack of an autonomous vehicle using robot operating system" (2022), has garnered 29 citations and stands as a key contribution to the field. In this paper, Yadav systematically addresses the challenges of building a modular, scalable software stack for autonomous vehicles, leveraging the Robot Operating System (ROS) to enable real-time sensor fusion, path planning, and control. His work has been instrumental in advancing the practical deployment of autonomous driving technologies, offering a blueprint that bridges theoretical algorithms with hardware implementation. Beyond this flagship study, Yadav's research spans perception systems, localization, and vehicle dynamics, consistently emphasizing robust, real-world applicability. His contributions have not only influenced academic discourse but also informed industry practices, making him a valuable voice in the rapidly evolving landscape of autonomous mobility. For students and researchers exploring autonomous vehicle software, Yadav's work provides a foundational reference that combines technical depth with accessible design principles.
Research Focus
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Top Papers
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