Full dimensional simulation testing of end-to-end NOA system
For the end-to-end NOA systems in autonomous driving, performance validation and reliability assurance constitute critical prerequisites for achieving large-scale deployment. Serving as the strategic cornerstone of validation architecture, simulation testing not only continuously empowers technological evolution, but also establishes systematic verification infrastructure for the emerging "Enhanced Perception, Streamlined Mapping" algorithmic paradigm.
For the end-to-end NOA systems in autonomous driving, performance validation and reliability assurance constitute critical prerequisites for achieving large-scale deployment. Serving as the strategic cornerstone of validation architecture, simulation testing not only continuously empowers technological evolution, but also establishes systematic verification infrastructure for the emerging "Enhanced Perception, Streamlined Mapping" algorithmic paradigm.
High-fidelity sensor simulation modeling, comprehensive digital twin reconstruction, multi-dimensional scenario libraries, and full-chain verification framework constitute four foundational pillars of end-to-end simulation testing, delivering full lifecycle assurance for NOA system's functional safety and Safety of the Intended Functionality (SOTIF).
Booth: 10225
High-fidelity sensor simulation modeling, comprehensive digital twin reconstruction, multi-dimensional scenario libraries, and full-chain verification framework constitute four foundational pillars of end-to-end simulation testing, delivering full lifecycle assurance for NOA system's functional safety and Safety of the Intended Functionality (SOTIF).
Booth: 10225
