Core Viewpoint - The article highlights the advancements in autonomous vehicle testing technology in China, showcasing a significant leap from following to leading in the field, particularly through the development of a digital twin-based testing system that drastically reduces testing time for dangerous scenarios from six months to three days [1]. Group 1: Autonomous Vehicle Testing - The digital twin-based testing system allows for the simulation of extreme scenarios in a controlled environment, enabling comprehensive testing of autonomous vehicles [1]. - The project led by Zhao Xiangmo has received the Global Road Achievement Award, indicating a recognition of China's leadership in intelligent driving testing technology [1]. Group 2: Historical Context and Development - In the late 1980s, the automotive testing in China relied heavily on manual methods, which were inefficient and limited [2][3]. - Zhao Xiangmo's team established the first fully automated distributed automotive safety and performance testing line in China, overcoming the challenges posed by foreign equipment monopolies [3][4]. Group 3: Innovations in Road and Bridge Testing - Traditional methods for road and bridge testing were limited, often damaging structures or failing to penetrate deeply enough [5][6]. - The team developed a new detection system that utilizes advanced materials to achieve a detection depth of 10 meters, allowing for non-destructive testing of concrete structures [6][7]. Group 4: Future Directions and Integration - The introduction of a "virtual-real fusion" testing approach aims to address the challenges of proving the safety of autonomous vehicles by simulating countless scenarios in a limited physical space [7][8]. - The team has created a comprehensive technology and standard system that integrates smart vehicle terminals, roadside perception equipment, and traffic cloud platforms, achieving over 120,000 hours of equivalent testing [9].
创新故事|为无人驾驶时代铺设中国“安全基座”
Ke Ji Ri Bao·2026-02-08 07:59