David Paz

Papers

Total Citations

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About

David Paz is a researcher at the forefront of autonomous vehicle technology, with a particular focus on the emerging field of micro-mobility and urban navigation. His work bridges the gap between traditional self-driving car paradigms and the unique challenges of smaller, more agile vehicles. Paz’s most influential paper, "Autonomous vehicles for micro-mobility" (2021), has garnered 22 citations and explores the historical vision of autonomous driving while addressing the practical integration of micro-mobility solutions into modern transport systems. Building on this foundation, his 2023 work "Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments" (7 citations) tackles a critical bottleneck in the industry: the high cost of maintaining high-definition (HD) maps. By leveraging probabilistic semantic mapping, Paz proposes a more scalable and cost-effective approach, enabling autonomous vehicles to navigate complex urban settings without relying on expensive, pre-mapped data. His contributions are particularly notable for their potential to democratize autonomous driving technology, making it accessible for micro-mobility platforms like e-scooters and delivery robots. Through his research, David Paz is shaping a future where autonomous navigation is not only advanced but also practical and inclusive for diverse urban environments.