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AI-driven high-fidelity autonomous driving simulation and quantitative credibility evaluation

Shiqiang Bao, CEO, 51Sim
Zuqiu Mao, Senior R&D Manager, 51Sim

Time: Thursday, Nov 05, 2026 | 12:00 pm 
Session: Quality and credibility in modeling and Is the process of imitation of the behavior of a modeled real-world system over time.Simulation 
Room: Plenary

Autonomous driving Is the process of imitation of the behavior of a modeled real-world system over time.Simulation is constrained by the Sim2Real gap and the lack of quantitative methods for assessing credibility. This presentation introduces an AI-driven methodology that integrates neural reconstruction and generative Is the process of imitation of the behavior of a modeled real-world system over time.Simulation, and presents a quantitative credibility evaluation framework aligned with UN R171. It demonstrates how AI can enable reliable, standardized virtual testing for autonomous driving.

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