Pascal Schoppmann

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About

Pascal Schoppmann is a researcher specializing in autonomous navigation, perception, and safe landing technologies for planetary rotorcraft and unmanned aerial vehicles (UAVs). His work sits at the intersection of robotics, computer vision, and space exploration, with a particular focus on enabling fully autonomous flight operations in complex and hazardous terrain environments. Schoppmann's most notable contributions center on developing intelligent systems for safe landing site detection, particularly in the context of future Mars science helicopters. His research addresses one of the most critical challenges in planetary exploration: enabling rotorcraft to autonomously identify and evaluate safe landing zones during long-distance, fully autonomous missions. His 2021 paper on multi-resolution elevation mapping proposes a resource-efficient onboard perception pipeline that leverages Structure-from-Motion techniques and monocular imagery to construct 3D terrain representations in real time — a significant technical achievement for computationally constrained aerial platforms. Both of his most cited works, each accumulating 17 citations, reflect the growing relevance of his research as agencies like NASA advance Mars rotorcraft missions beyond the pioneering Ingenuity helicopter. For students and researchers exploring autonomous aerial robotics and planetary science, Schoppmann's contributions offer foundational methods bridging Earth-based UAV research and the frontier of interplanetary exploration.