Huawei Drafts Autonomous Driving White Paper, Setting Industry Standards: A Visual Guide to Safe Self-Driving

CNBC AI News, July 8 – The automotive industry in China is charting a clearer course for intelligent driving development with the official release of the “White Paper on Intelligent Driving Technology and Industrial Development.” This pivotal document, spearheaded by the China Automotive Technology and Research Center (CATARC) with significant contributions from Tsinghua University and Huawei Technologies Co., Ltd., aims to foster healthy growth within the nation’s burgeoning smart driving sector.

The white paper delves into the critical aspects of safety system construction and the pathway to vehicle intelligence. It meticulously clarifies core concepts, dissects technological principles, and outlines the current development landscape. By establishing professional industry standards, the paper serves as a crucial guide for regulating industry practices, sparking innovation, and propelling China’s intelligent driving industry forward, contributing to its ambition of becoming a global automotive and transportation powerhouse.

The newly published white paper is designed to empower consumers, helping them make informed decisions when selecting user-friendly, safe, and reliable intelligent driving assistance vehicles. It addresses the crucial question: what are the benchmarks for truly trustworthy intelligent driving? The document lays out clear standards, including:

1. Operational coverage across a speed range of 0-150 km/h.

2. Comprehensive 360-degree protection.

3. Seamless recognition of objects such as overturned vehicles, two-wheeled vehicles, and various obstacles.

4. Robust performance and stability even in challenging weather conditions like heavy rain and fog.

5. Seamless integration of human and intelligent driving, adept at handling complex road scenarios.

Furthermore, the white paper offers valuable “pitfall avoidance” guidelines for consumers navigating the purchase of intelligent driving systems. These include clarifying that “memory parking” is not synonymous with “space-to-space” parking, that the presence of lidar doesn’t automatically guarantee advanced intelligent assistance, and important distinctions such as AEB (Automatic Emergency Braking) prioritizing speed reduction over AES (Automatic Emergency Steering) lane changes.