UFPR-VeSV is a new real-world dataset for fine-grained vehicle classification and automatic license plate recognition collected from Brazilian police cameras, with benchmarks demonstrating its difficulty and the value of joint task use.
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
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Introduces agentic vehicles (AgVs) as conceptually distinct from but synergistic with autonomous vehicles (AuVs), emphasizing agency for goal handling and social contexts in human-centered mobility.
citing papers explorer
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Toward Unified Fine-Grained Vehicle Classification and Automatic License Plate Recognition
UFPR-VeSV is a new real-world dataset for fine-grained vehicle classification and automatic license plate recognition collected from Brazilian police cameras, with benchmarks demonstrating its difficulty and the value of joint task use.
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Agentic Vehicles for Human-Centered Mobility: Definition, Prospects, and Synergistic Co-Development with Vehicle Autonomy
Introduces agentic vehicles (AgVs) as conceptually distinct from but synergistic with autonomous vehicles (AuVs), emphasizing agency for goal handling and social contexts in human-centered mobility.