An intelligent network connection traffic scene automatic driving virtual test method and system
By constructing a virtual basic model of multi-source heterogeneous data and randomly generating virtual test scenarios, and combining it with an evaluation model for testing and evaluation, the high cost and low coverage of traditional real vehicle testing are solved, and efficient and accurate verification of autonomous driving systems in complex scenarios is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG SINO-AISA TIRE PROVING GROUND CO LTD
- Filing Date
- 2026-03-26
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional real-vehicle road testing is costly, time-consuming, difficult to reproduce extreme and dangerous scenarios, and has limited coverage in the complex intelligent connected environment of autonomous driving systems, thus failing to meet the needs of comprehensive verification.
A virtual basic model based on multi-source heterogeneous data is constructed. Diverse virtual test scenarios are generated by randomly combining scene elements. Test evaluation values are generated by combining with a preset evaluation model. The correlation relationship is used to determine whether correction is needed. Finally, a detailed virtual test report is generated.
It enables comprehensive, efficient, and accurate testing and evaluation of autonomous driving systems in complex intelligent connected transportation scenarios, providing strong technical support for the research and development and verification of autonomous driving systems.
Smart Images
Figure CN122411367A_ABST