Papers
2
Total Citations
50
H-Index
2
About
Steven Derrien is a researcher whose work has made meaningful contributions to the field of mobile robotics, with a particular focus on panoramic imaging and computer vision. His most recognized research centers on the geometric analysis of panoramic cameras — specifically the challenge of approximating a single viewpoint in wide-field-of-view imaging devices. This problem is fundamental to mobile robotics, where robots must navigate complex environments rapidly and safely, relying on accurate visual perception. Derrien's key contribution lies in addressing the optical and geometric constraints that arise when designing or evaluating panoramic cameras for single-viewpoint imaging. A single viewpoint is critical for applications such as perspective reprojection and stereo vision analysis, enabling robots to interpret their surroundings with greater precision. His work provides theoretical and practical frameworks for approximating this ideal condition even when optical design limitations make it difficult to achieve exactly. His 2002 paper on this topic has accumulated approximately 50 citations across multiple publication venues, reflecting its relevance to both robotics and computer vision communities. The research remains a useful reference for engineers and scientists developing vision systems for autonomous platforms, demonstrating the lasting practical value of his contributions to the field.
Research Focus
Key Achievements
Top Papers
- 1Approximating a single viewpoint in panoramic imaging devices35 citations · 2002
- 2Approximating a single viewpoint in panoramic imaging devices15 citations · 2002