The rapid evolution of autonomous driving technologies is deeply reliant on high-quality datasets and robust data management solutions that cannot be achieved by a single actor working in isolation. This paper examines the growing role of datasets and data spaces in the mobility domain, providing a conceptual analysis...
Kosmas Tsiakas, Dimitrios Alexiou, M. Malayjerdi et al.· European Transport Research...· 0 citations
Semantic segmentation for autonomous driving requires reliable detection of vulnerable road users (VRUs) despite heavy class imbalance. We introduce CLFTv2, a hierarchical camera-LiDAR fusion framework replacing global ViT attention with a Swin-based multi-scale encoder and a lightweight FPN-style residual decoder. Ope...
Toomas Tahves, Mauro Bellone, Raivo Sell· 0 citations
This paper surveys the current state of the AV research ecosystem, including hardware platforms, autonomy software stacks, datasets, simulation environments, digital twins, testing and validation frameworks, and educational programs, and provides a framework for evaluating AV research and educational infrastructure whi...
Rahul Razdan, Dmitri Mironov, Janika Leoste et al.· Applied Informatics· 0 citations
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