About

Andreas Geiger is a pioneering computer vision and robotics researcher whose work has fundamentally shaped the field of autonomous driving and 3D scene understanding. Best known as the creator of the **KITTI benchmark suite**, his 2012 paper introducing this dataset has accumulated an extraordinary 14,348 citations, making it one of the most influential works in computer vision history. The companion KITTI dataset paper (2013) has garnered an additional 9,681 citations, cementing his reputation as the architect of the standard evaluation framework against which autonomous driving perception systems are measured worldwide. Geiger's research spans dense 3D reconstruction, visual SLAM, sensor calibration, and omnidirectional image understanding. His StereoScan system demonstrated real-time dense reconstruction from stereo video, while his single-shot camera-LiDAR calibration method addressed a persistent bottleneck in robotic system setup. More recently, KITTI-360 (2022, 630 citations) extended his benchmark legacy toward holistic urban scene understanding across 2D and 3D modalities, bridging computer vision, graphics, and robotics communities. His contributions to fisheye and spherical imaging further demonstrate a commitment to perception systems that mirror real-world sensor deployments. Collectively, Geiger's work has provided the essential infrastructure upon which a generation of autonomous driving research has been built.

Research Focus

Key Achievements

12
H-Index
15
Papers
27,239
Total Citations
1,816
Avg Citations/Paper
🏆 Most Cited Paper
Are we ready for autonomous driving? The KITTI vision benchmark suite
14,348 citations · 2012
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Karlsruhe Institute of Technology, TH Bingen University of Applied Sciences, Max Planck Institute for Intelligent Systems, ETH Zurich, University of Tübingen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago