Mukund Ghole

Papers

Total Citations

H-Index

About

Mukund Ghole is a researcher focused on the intersection of autonomous systems and hardware implementation, with a particular emphasis on the practical challenges of deploying algorithms in real-world environments. His most-cited work, "Discussion on Problems and Solutions in Hardware Implementation of Algorithms for a Car-type Autonomous Vehicle" (2018), addresses critical bottlenecks in translating theoretical control and perception algorithms into reliable, cost-effective hardware for self-driving cars. This paper, with 4 citations, highlights his contributions to bridging the gap between software simulation and physical deployment, tackling issues such as sensor integration, real-time processing constraints, and system robustness. Ghole’s research is notable for its hands-on, problem-solving approach, offering actionable insights for engineers and researchers working on autonomous vehicle platforms. While his citation count reflects a niche but growing field, his work serves as a foundational reference for those navigating the complexities of hardware-software co-design in autonomous navigation. His contributions underscore the importance of practical engineering solutions in advancing autonomous vehicle technology, making his research valuable for students and practitioners seeking to understand the real-world hurdles of self-driving car development.