Papers
15
Total Citations
11,054
H-Index
8
About
Christoph Stiller is a pioneering researcher in autonomous driving, mobile robotics, and computer vision, whose work has fundamentally shaped how machines perceive and navigate the world. Based at the Karlsruhe Institute of Technology, Stiller is perhaps best known as a key contributor to the landmark KITTI dataset (2013), a comprehensive benchmark capturing real-world traffic scenarios using stereo cameras and 3D laser scanning that has become an indispensable resource for the autonomous driving community, amassing nearly 10,000 citations and influencing countless subsequent studies. His work on StereoScan (2011, 1,100+ citations) demonstrated the feasibility of dense 3D scene reconstruction in real time, addressing a critical challenge in practical robotics deployment. Stiller has also made significant contributions to simultaneous localization and tracking of dynamic objects in 3D range data, visual odometry in complex urban environments, and illumination-robust image descriptors. More recently, his research has expanded into cooperative autonomous driving, including open-source simulation frameworks for interacting vehicles and V2X communication architectures. Across his career, Stiller's work bridges rigorous algorithmic innovation with real-world applicability, cementing his status as a foundational figure in intelligent transportation and autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Vision meets robotics: The KITTI dataset9,681 citations · 2013
- 2StereoScan: Dense 3d reconstruction in real-time1,102 citations · 2011
- 3Joint self-localization and tracking of generic objects in 3D range data107 citations · 2013
- 4
- 5
- 6Autonome Mobile Systeme 200922 citations · 2009
- 7DIRD is an illumination robust descriptor19 citations · 2014
- 8
- 9
- 10