Lorenz Hauswald

Papers

Total Citations

265

H-Index

About

Lorenz Hauswald is a leading researcher at the intersection of machine learning, mobile robotics, and autonomous driving, best known for his foundational work in creating large-scale, high-quality datasets that accelerate progress in self-driving technology. His most impactful contribution is the Audi Autonomous Driving Dataset (A2D2), published in 2020 and cited over 265 times, which provides a comprehensive collection of simultaneously recorded images and 3D point clouds with precise 3D bounding box annotations. This resource has become a critical benchmark for developing and evaluating perception algorithms, enabling researchers to train robust models for object detection and scene understanding in complex urban environments. Hauswald’s work directly addresses the data scarcity challenge in autonomous driving, offering a publicly available, richly annotated dataset that bridges the gap between simulated and real-world testing. Through A2D2, he has empowered the global research community to push the boundaries of safe and reliable autonomous navigation, solidifying his reputation as a key enabler of open science in robotics and computer vision.