Author

Christoph Stiller

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#machine learning Preprint Sep 2026

Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language

This paper adapts set difference captioning to autonomous driving by focusing on object-centric patches derived from object detection, which simplifies aggregation and enables attribution of differences to specific object instances or categories and introduces a new benchmark, AD-Diff Bench.

Julian Truetsch, Felix Hauser, Christoph Stiller et al. · 0 citations

Jul 2026

A2RL Vmax: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction

This work introduces the A2RL V\textsubscript{max} open-source dataset, specifically designed for perception tasks in high-speed autonomous driving and multi-vehicle interaction, and is the first large-scale dataset in autonomous racing to feature professionally annotated LiDAR point clouds, enabling deep learning-base...

Marvin Klemp, Dominic Ebner, Cornelius Schröder et al. · arXiv.org · 0 citations