Craig Rasmussen

Papers

Total Citations

H-Index

About

Craig Rasmussen is a roboticist whose work centers on autonomous outdoor navigation, particularly in unstructured environments. His most cited paper, "Trail following with omnidirectional vision" (2010, 8 citations), introduces a novel system that enables robots to detect and follow rough, natural trails—a critical capability for applications in search-and-rescue, exploration, and agriculture. By fusing visual cues from stereo omnidirectional color cameras with structural data from ladar, Rasmussen’s algorithm robustly tracks paths despite highly variable tread materials, lighting, and terrain. This contribution addresses a fundamental challenge in field robotics: moving beyond structured roads to navigate the unpredictable, often faint trails found in wilderness settings. While his citation count reflects a focused, niche impact, Rasmussen’s work is notable for its practical, sensor-fusion approach that bridges computer vision and lidar-based perception. His research has influenced subsequent efforts in off-road autonomy and trail-following, demonstrating that even low-citation foundational work can shape a specialized domain. For students and researchers, Rasmussen exemplifies how tackling a hard, real-world problem—like following a dirt path through a forest—can yield elegant, enduring solutions.