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About

Marco Passoni is a researcher whose work lies at the intersection of embedded systems, sensor fusion, and environment perception for autonomous navigation. His primary contributions focus on developing portable, multi-sensor systems that enhance obstacle detection and situational awareness for both robotic platforms and human users in challenging conditions. Passoni’s most cited work, "INSPEX: Optimize Range Sensors for Environment Perception as a Portable System" (2019, 7 citations), exemplifies his approach: integrating diverse range-finding technologies—such as LiDAR, radar, and ultrasonic sensors—into a compact, wearable or vehicle-mounted platform. This system is designed to provide real-time, robust environmental mapping, particularly in low-visibility scenarios like fog, smoke, or darkness, where traditional vision-based sensors fail. By optimizing sensor selection and data fusion algorithms, Passoni’s research addresses critical safety and reliability gaps in autonomous navigation. His work has practical implications for assistive technologies for the visually impaired, as well as for autonomous vehicles and drones operating in degraded visual environments. Through INSPEX and related projects, Passoni demonstrates a commitment to translating sensor innovation into deployable solutions that improve human and machine interaction with complex surroundings.