Steffen Urban

Papers

Total Citations

H-Index

About

Steffen Urban is a computer vision and robotics researcher whose work centers on simultaneous localization and mapping (SLAM), multi-camera systems, and real-time spatial perception. His most recognized contribution is the development of **MultiCol-SLAM**, a modular real-time multi-camera SLAM system introduced in 2016, which has garnered 20 citations and represents a significant advancement in vision-based localization. This system addresses one of the most fundamental challenges in robotics and autonomous systems: continuously and robustly estimating the position and orientation of a camera relative to its environment. By extending SLAM frameworks to support multiple cameras simultaneously, Urban's work enhances the reliability and coverage of spatial estimation — capabilities that are critical for self-driving vehicles, mobile robotics, and emerging augmented and virtual reality applications. His research sits at the intersection of geometric computer vision, sensor fusion, and real-time systems engineering, making it broadly applicable across both academic and industrial domains. For students and researchers working on autonomous navigation or 3D scene understanding, Urban's contributions offer foundational insights into scalable, modular approaches to visual SLAM that go beyond the limitations of traditional single-camera pipelines.