Boris Pervan

Papers

Total Citations

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About

Boris Pervan is a leading researcher in the field of safety-critical localization for autonomous systems, with a particular focus on mobile robots and autonomous vehicles. His work bridges the gap between aviation-grade integrity frameworks and terrestrial robotics, pioneering methods to quantify and mitigate localization risks in life-critical missions. Pervan’s major contributions include developing landmark augmentation strategies to enhance localization safety when environmental modifications are necessary, and introducing integrity risk metrics—borrowed from decades of aviation safety research—to ground vehicles. His 2020 paper on landmark augmentation for mobile robot localization safety (10 citations) and his 2024 work quantifying the risk of unmapped associations (7 citations) are foundational, establishing rigorous probabilistic approaches to detect sensor faults and ensure reliable positioning. By adapting aviation’s proven integrity concepts to dynamic, unstructured environments, Pervan has advanced the safe deployment of autonomous systems in applications like self-driving cars and delivery robots. His research is critical for students and engineers seeking to understand how to guarantee localization safety under uncertainty, making him a key figure in the growing field of autonomous system reliability.