LATIDIA · Robótica
Cuando los gemelos digitales se encuentran con grandes modelos de lenguaje: simulación realista, interactiva y editable para la conducción autónoma
arXiv: 2507.00319v3Tipo de anuncio: reemplazar Resumen: Los marcos de simulación han sido habilitadores clave para el desarrollo y la validación de sistemas de conducción autónoma. Sin embargo, los métodos existentes tienen dificultades para sumar de manera integral
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arXiv:2507.00319v3 Announce Type: replace Abstract: Simulation frameworks have been key enablers for the development and validation of autonomous driving systems. However, existing methods struggle to comprehensively address the autonomy-oriented requirements of balancing: (i) dynamical fidelity, (ii) photorealistic rendering, (iii) context-relevant scenario orchestration, and (iv) real-time performance. To address these limitations, we present a unified framework for creating and curating high-fidelity digital twins to accelerate advancements in autonomous driving research. Our framework leverages a mix of physics-based and data-driven techniques for developing and simulating digital twins of autonomous vehicles and their operating environments. It is capable of reconstructing real-world scenes and assets with geometric and photorealistic accuracy (~97% structural similarity) and