David H. Marimont

Papers

Total Citations

H-Index

About

David H. Marimont is a pioneering researcher in computer vision and mobile robotics, with foundational contributions to spatial mapping and autonomous navigation. His work centers on inferring three-dimensional structure from visual data, a critical challenge for intelligent systems operating in unstructured environments. In his highly influential 1986 dissertation, Marimont introduced methods for building local environment maps through both model-based vision and image sequence analysis, establishing core principles that underpin modern robotic perception. His 1987 research on the Autonomous Land Vehicle (ALV) further advanced the field by integrating time-of-flight range sensors, inertial guidance, and visual recognition to enable robust navigation across varied terrain. Though his citation counts (5 and 2) reflect the specialized, early-stage nature of his work, Marimont’s ideas were instrumental in shaping the trajectory of mobile robot vision and spatial reasoning. His research remains a touchstone for students and engineers exploring the intersection of artificial intelligence, computer vision, and autonomous systems, demonstrating how foundational insights can drive lasting technological impact.