Deyuan Qu

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About

Deyuan Qu is a researcher at the forefront of autonomous vehicle technology, with a primary focus on motion planning and self-driving system architectures. His most impactful contribution is the development of the OASD framework, an open approach to self-driving vehicles that demystifies the complex integration of hardware and software required for autonomous navigation. This work, which has garnered 12 citations, provides a foundational blueprint for researchers and engineers seeking to build accessible autonomous systems. Qu has further advanced the field through his research on real-time motion planning in dynamic environments, addressing the critical challenge of trajectory planning amidst moving obstacles. His 2025 publication on this topic, with 5 citations, builds upon his earlier 2024 work, demonstrating a sustained commitment to solving one of the most difficult problems in autonomous driving: ensuring safe and efficient navigation in unpredictable settings. By tackling both the architectural and real-time operational aspects of self-driving cars, Qu's research offers practical solutions that bridge the gap between theoretical algorithms and real-world implementation, making him a notable contributor to the advancement of autonomous mobility.