Dominic Carrillo

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About

Dominic Carrillo is a researcher at the forefront of autonomous vehicle technology, specializing in the intricate challenges of real-world self-driving systems. His work centers on two critical pillars: open-source frameworks for vehicle autonomy and real-time motion planning in unpredictable, dynamic environments. Carrillo’s most influential contribution is his 2021 paper, “OASD: An Open Approach to Self-Driving Vehicle,” which has garnered 12 citations for its pioneering effort to democratize autonomous vehicle development. By breaking down the complex interplay between hardware and software, this work provides a foundational blueprint for researchers and engineers seeking accessible entry points into the field. Building on this, his 2025 study on real-time motion planning (5 citations) directly tackles the formidable challenge of navigating amidst moving obstacles—a core bottleneck for safe deployment. This research, alongside a 2024 precursor (2 citations), advances trajectory planning algorithms that balance computational efficiency with safety, pushing the boundaries of how autonomous vehicles react in split-second scenarios. Carrillo’s contributions are vital for students and engineers aiming to bridge the gap between theoretical autonomy and practical, road-ready systems.