Sebastian Garreis

Papers

Total Citations

265

H-Index

About

Sebastian Garreis is a leading researcher at the intersection of machine learning, mobile robotics, and autonomous driving, best known for his foundational work in creating high-quality, publicly available datasets. His most impactful contribution is the introduction of the Audi Autonomous Driving Dataset (A2D2), a seminal resource that has garnered over 265 citations. This dataset provides the research community with simultaneously recorded images and 3D point clouds, meticulously annotated with 3D bounding boxes, semantic segmentation, and instance segmentation. By releasing A2D2, Garreis directly addressed a critical bottleneck in autonomous driving research—the scarcity of large-scale, multimodal, and precisely labeled data. His work has accelerated the development and benchmarking of perception algorithms for object detection, tracking, and scene understanding. Through this contribution, Garreis has enabled researchers and engineers worldwide to train more robust and reliable autonomous systems, cementing his role as a key enabler of progress in safe, self-driving vehicle technology.