Martin Oelker
Papers
1
Total Citations
265
H-Index
1
About
Martin Oelker is a leading researcher at the intersection of machine learning, mobile robotics, and autonomous driving. His most impactful contribution is the creation and release of the Audi Autonomous Driving Dataset (A2D2), a landmark resource that has garnered over 265 citations since 2020. This dataset, comprising synchronized images and 3D point clouds with detailed 3D bounding box annotations, has become an essential benchmark for advancing perception systems in self-driving vehicles. By providing high-quality, multimodal data to the research community, Oelker has directly accelerated progress in 3D object detection, sensor fusion, and scene understanding. His work exemplifies how open, meticulously curated datasets can democratize research and drive innovation in complex, real-world applications. For students and researchers in autonomous systems, Oelker’s contributions offer both a foundational resource and a model for impactful, community-driven research.
Research Focus
Key Achievements
Top Papers
- 1A2D2: Audi Autonomous Driving Dataset265 citations · 2020