Austin Costley

Autonomous Solutions (United States), Utah State University

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Total Citations

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About

Austin Costley is a researcher advancing the frontier of open-source autonomous systems, with a primary focus on low-cost vehicle automation and robust navigation for agricultural robotics. His work addresses critical barriers in deploying autonomous vehicles at scale, particularly in GPS-denied environments like orchards and vineyards. Costley’s most cited paper (2020, 8 citations) introduces an open-source platform for full-sized automated vehicle research, leveraging the Robot Operating System (ROS) to enable remote control of cars and trucks—a foundational contribution that democratizes access to autonomous vehicle experimentation. His second major work (2020, 6 citations) tackles the challenge of localization in agricultural settings where GPS signals are unreliable, proposing landmark-aided navigation to ensure robots can operate effectively in complex, structured environments. Though his citation counts are modest, Costley’s impact lies in providing practical, reproducible tools that lower the entry barrier for researchers and engineers. By prioritizing open-source methodologies, he empowers a broader community to engage with autonomous vehicle research and agricultural robotics, making his contributions particularly valuable for students and practitioners seeking hands-on, scalable solutions in real-world settings.