Papers
33
Total Citations
1,304
H-Index
15
About
Bastian Leibe is a prominent computer vision and robotics researcher whose work sits at the intersection of autonomous systems, human perception, and mobile robotics. His research focuses on visual object recognition, people detection and tracking, and long-term robot autonomy in real-world environments — areas where his contributions have fundamentally shaped how robots perceive and navigate human-populated spaces. Leibe is perhaps best known for his work on socially aware robotics, most notably through the SPENCER project (262 citations), which deployed service robots to guide passengers in busy airports, and contributions to the STRANDS Project (196 citations), which advanced long-term autonomous robot operation in everyday settings. His real-time RGB-D people detection and tracking system (181 citations) became a foundational reference for mobile robotics applications, while his research on multi-modal people tracking in crowded environments (115 citations) addressed some of the field's most challenging practical problems. Beyond robotics, his survey on visual object recognition (125 citations) has served as an important resource for students and practitioners alike. Additional work on 3D human pose estimation under occlusion and scene flow for dynamic street understanding reflects his sustained commitment to robust, real-world computer vision. Collectively, his publications demonstrate both scientific depth and meaningful real-world impact.
Research Focus
Key Achievements
Top Papers
- 1
- 2The STRANDS Project: Long-Term Autonomy in Everyday Environments196 citations · 2017
- 3
- 4Visual Object Recognition125 citations · 2011
- 5
- 6Visual Object Recognition55 citations · 2011
- 7
- 8How Robust is 3D Human Pose Estimation to Occlusion?50 citations · 2018
- 9Deep Person Detection in Two-Dimensional Range Data32 citations · 2018
- 10Lying Pose Recognition for Elderly Fall Detection30 citations · 2011