Technical articles · 2022.11.22
From driving logs to simulation scenarios and training data
李月：仿真赋能、数据驱动，X-In-Loop技术体系推动智能驾驶安全落地
Overview
This transcript of a 2022 talk by Li Yue describes slicing and cleaning natural-driving logs, repairing discontinuous object tracks when IDs change, and producing dynamic simulation scenarios. It connects this workflow to cloud SIL testing and synthetic training-data generation.
Publication and version information
The date is the IAE post date; the source update is 2023-01-30. The article author is unknown. Li Yue (李月) is the reported speaker. This is a speaker-unreviewed talk transcript; the transcription author is unknown.