July 8th， Beijing – A significant milestone was achieved today with the official release of the “White Paper on Automotive Intelligent Driving Technology and Industry Development.” This comprehensive document， spearheaded by the China Automotive Technology and Research Center (CATARC) and co-authored by Tsinghua University and Huawei Technologies Co.， Ltd.， aims to provide a clear roadmap for the healthy and robust growth of China’s intelligent driving industry.
The white paper delves into critical aspects of the automotive intelligent driving ecosystem， focusing on the development of safety systems and the pathways for vehicle intelligence. It meticulously clarifies key concepts， analyzes technological principles， and assesses the current development landscape. Through a professional lens， it establishes industry standards， offering guidance that will foster regulated industry development and stimulate innovation. This initiative is pivotal in ensuring the steady advancement of China’s intelligent driving sector and contributes to the broader national goals of becoming a strong automotive and transportation powerhouse.
The primary objective of this newly published white paper is to empower consumers to make informed choices when selecting intelligent driving assistance vehicles that are both user-friendly and reliable， prioritizing safety above all else. To address the crucial question of what constitutes truly safe and dependable intelligent driving， the white paper clearly outlines specific standards and capabilities:
- Operational coverage across a speed range of 0-150 km/h.
- Comprehensive 360-degree protection， eliminating blind spots.
- Accurate recognition of various road participants and obstacles， including vulnerable vehicles like motorcycles and bicycles， as well as general obstructions.
- Consistent and stable performance even in challenging weather conditions such as heavy rain and dense fog.
- Seamless integration of human driving and intelligent driving systems to effectively navigate complex road scenarios.
Beyond defining performance benchmarks， the white paper also offers valuable guidance to help consumers avoid common pitfalls when purchasing intelligent driving features. For instance， it clarifies that “memory parking” is not synonymous with fully automated “garage-to-garage” parking. It also highlights that the mere presence of LiDAR does not automatically equate to advanced intelligent driving assistance， and stresses the distinction between Emergency Braking (AEB) which prioritizes deceleration， and systems that prioritize yielding (AES)， emphasizing the latter’s role in complex traffic situations.
