{"id":107733,"date":"2025-12-26T18:29:00","date_gmt":"2025-12-26T12:59:00","guid":{"rendered":"https:\/\/greyb.com\/?p=107733"},"modified":"2026-01-23T18:58:53","modified_gmt":"2026-01-23T13:28:53","slug":"china-adas-regulation-impact","status":"publish","type":"post","link":"https:\/\/greyb.com\/blog\/china-adas-regulation-impact\/","title":{"rendered":"How China’s ADAS Regulation Impacts Innovation and Market Implications"},"content":{"rendered":"\n

In April 2025, China\u2019s Ministry of Industry and Information Technology (MIIT) issued a regulatory notice<\/a> for intelligent connected vehicle products, pulling the automotive world’s handbrake on hype. This comes directly after a fatal car crash in late March caused by the incorrect use of assisted driving features.<\/p>\n\n\n\n

For years, automakers and technology suppliers had been promising autonomous<\/em> or smart<\/em> driving, but real\u2011world performance often lagged behind the marketing.<\/p>\n\n\n\n

New measurements shared by the MIIT are not just headline\u2011grabbing restrictions. They represent a fundamental shift from bold claims to verifiable safety. <\/p>\n\n\n\n

Management teams working on advanced driver\u2011assistance systems (ADAS) in China must understand the new rules, adapt product roadmaps and supplier strategies, and prepare for a regulatory climate that values evidence over hype. <\/p>\n\n\n\n

This article summarises the regulatory changes, explains their technical meaning, compares global frameworks, and analyses how companies like BYD are responding. <\/p>\n\n\n\n

What does the Regulation Demand?<\/h2>\n\n\n\n

Advertising discipline and ban on inflated terminology<\/h3>\n\n\n\n

MIIT told automakers to stop using terms like \u201csmart driving,\u201d \u201cintelligent driving,\u201d or \u201cautonomous driving\u201d when marketing Level 2 systems. <\/p>\n\n\n\n

Only explicit SAE\u2011level language, such as L2-assisted driving<\/em>, is permitted. The Ministry of Public Security later signalled<\/a> that overselling ADAS could violate China\u2019s Advertising Law, which allows fines of three to five times the advertisement cost, or CNY 200 000\u20131 000 000 when the cost is hard to determine. Misleading promotion can also lead to suspension of business licences.<\/p>\n\n\n\n

For management teams, this means that communication strategies must be cleared with legal counsel; marketing content, owner manuals, and dealer training must reflect the new nomenclature to avoid penalties.<\/p>\n\n\n\n

Public testing and feature restrictions<\/h3>\n\n\n\n

Previously, some companies used pioneer user<\/em> programmes to test new functions on public roads. MIIT forbade<\/a> public beta testing without governmental approval. Demonstrating new features now requires either controlled conditions or special authorisation. <\/p>\n\n\n\n

Functions perceived as convenience rather than safety\u2014such as remote summon, valet parking, and remote parking\u2014were banned outright because regulators concluded they cannot ensure continuous driver engagement. <\/p>\n\n\n\n

This directive affects any features that allow the driver to leave the seat or that enable the vehicle to drive itself in confined areas. Thus, product teams must remove these functions from Chinese builds or redesign them for strict supervision.<\/p>\n\n\n\n

Hands\u2011on requirements and driver monitoring<\/h3>\n\n\n\n

MIIT emphasised that Level 2 systems are assistive<\/em>; the driver must remain engaged and be ready to take over at any time. The new rules require driver\u2011monitoring systems that detect if a driver removes their hands from the wheel or looks away. <\/p>\n\n\n\n

If hands\u2011off detection exceeds 60 seconds, the system must issue warnings and then slow down or pull over. Later drafts of the national standard for Level 2 combined driver\u2011assistance systems reinforce these conditions. The draft (September 2025) emphasises human\u2011machine interaction, cybersecurity, and data recording. <\/p>\n\n\n\n

It mandates hands\u2011off and gaze-monitoring, requiring the system to issue warnings and temporarily disable itself for repeated non\u2011compliance. <\/p>\n\n\n\n

Yicai Global notes<\/a> that the draft also calls for the vehicle to record key data for accident investigation and to disable itself for at least 30 minutes if warnings are ignored. <\/p>\n\n\n\n

These requirements mean suppliers must upgrade steering\u2011wheel sensors, camera\u2011based driver monitoring, and analytics for logging behaviour.<\/p>\n\n\n\n

OTA updates and recall procedures<\/h3>\n\n\n\n

One of the most significant changes is the way China now treats software updates. The MIIT & State Administration for Market Regulation (SAMR) notice<\/a>, which entered into force on 28 February 2025, classifies OTA updates into categories.<\/p>\n\n\n\n

General software improvements can be deployed after filing; updates affecting major technical parameters need regulatory approval; upgrades related to Level 3 or higher functions require admission approval; and OTA updates for recall fixes must comply with recall regulations, with sales stopped until modifications are approved. <\/p>\n\n\n\n

Automakers must submit<\/a> complete inspection and testing reports and integrate them into production consistency systems. Additionally, companies must establish accident-reporting mechanisms that require incidents to be reported within 24\u201348 hours. <\/p>\n\n\n\n

It further addresses<\/a> that OTA updates affecting essential functions must be registered and approved; emergency updates require suspending sales until corrective measures are approved; and a sandbox system monitors safety risks. <\/p>\n\n\n\n

This structure makes OTA releases a regulated product. Software teams must build in time for pre\u2011authorization and maintain detailed documentation for each update.<\/p>\n\n\n\n

Impact of Guidelines on ADAS Development<\/h2>\n\n\n\n

Marketing versus product reality<\/h3>\n\n\n\n

For years, marketing departments pitched near\u2011autonomous capabilities while engineering teams were still tackling edge cases. The new directives force alignment between messaging and capability. Companies cannot imply<\/em> autonomy; they must state the exact level of assistance, emphasise driver responsibility, and provide training at handover.<\/p>\n\n\n\n

The draft standard requires confirmation that drivers complete training each time the system is activated. This may slow adoption in the short term, but it reduces confusion and risk. For international executives, the message is clear: treat compliance messaging as a core product feature.<\/p>\n\n\n\n

Engineering accountability and safety cases<\/h3>\n\n\n\n

The requirement for driver\u2011monitoring with hands\u2011off detection and fallback transitions pushes engineering teams to design systems with a safety case<\/em> approach similar to aviation or rail. Systems must degrade gracefully, issue warnings, and shut down or lock out when misuse persists.<\/p>\n\n\n\n

Data logging becomes essential not only for performance improvement but also for forensic analysis.<\/p>\n\n\n\n

MIIT\u2019s rules effectively demand an end\u2011to\u2011end evidence chain from simulation through track tests to real\u2011world logs. Companies need to maintain a traceable dossier<\/em> for each function release, covering scenario coverage, failure mode analysis, and rollback plans. This raises costs but also builds trust with regulators and the public.<\/p>\n\n\n\n

Supply\u2011chain and hardware implications<\/h3>\n\n\n\n

Functions now subject to approval include not only software but also hardware changes. Upgrades that alter major technical parameters, such as sensor types or configurations, require regulatory approval. <\/p>\n\n\n\n

Unapproved changes can trigger recall procedures. Thus, procurement and product planning must stabilise sensor and compute configurations over longer cycles to avoid repeated approval loops. The hardware lock also encourages modular, upgradable architectures, allowing new sensors to be integrated with minimal changes to safety\u2011critical behaviours.<\/p>\n\n\n\n

How is BYD Adopting the Regulation<\/h2>\n\n\n\n

BYD has aggressively embraced the change. In February 2025, the company announced<\/a> it would equip 21 models with its God\u2019s Eye driver\u2011assistance suite, offering the system across the entire lineup at no extra cost.<\/p>\n\n\n\n

BYD\u2019s chairman, Wang Chuanfu, said that \u201cgood technology should be available to everyone\u201d and predicted high\u2011level smart driving would become as essential as seatbelts and airbags within two to three years.<\/p>\n\n\n\n

The system is tiered: God\u2019s Eye C<\/em> (DiPilot 100) uses 12 cameras, five millimetre\u2011wave radars, and 12 ultrasonic sensors; God\u2019s Eye B<\/em> adds LiDAR; and God\u2019s Eye A<\/em> employs three LiDAR sensors with the powerful DiPilot 600 computing system. Prices start as low as CNY 69 800 (about USD 9 550) for models like the Seagull.<\/p>\n\n\n\n

\"image\"
Source: EV.com<\/a><\/figcaption><\/figure>\n\n\n\n

Investment in engineering and data<\/h3>\n\n\n\n

BYD backs its ambitions with massive resources. The company employs 110,000 engineers, of whom 5,000 are dedicated to intelligent driving R&D. Their system processes data from 72 million kilometres of daily training mileage.<\/p>\n\n\n\n

Such a scale gives BYD an advantage when building scenario libraries for regulatory evidence. Many Chinese start\u2011ups rely on small fleets and simulation; BYD uses both to train and verify its models, with millions of kilometres of real\u2011world operation.<\/p>\n\n\n\n

Bundling OTAs and standardising hardware<\/h3>\n\n\n\n

In July 2025, BYD announced<\/a> what it called the \u201clargest\u2011scale smart driving OTA in history\u201d. The update covered more than one million vehicles already equipped with God\u2019s Eye.<\/p>\n\n\n\n

BYD emphasised that bundling functions into a single major release would make the system safer and smarter, aligning with MIIT\u2019s requirement that OTA updates affecting driving must be pre\u2011authorized.<\/p>\n\n\n\n

The company operates three hardware tiers, which simplify validation across its lineup. It also deepened its LiDAR supply relationship with Hesai, announcing that more than ten models in 2025 would carry Hesai units. Standardised hardware reduces the number of approval permutations when regulators review changes.<\/p>\n\n\n\n

Accepting liability for bounded domains<\/h3>\n\n\n\n

Perhaps the most striking response was BYD\u2019s decision<\/a> in July 2025 to assume responsibility for any accidents or losses arising from its smart parking feature. The company stated that users would not need to go through insurance; BYD would handle claims directly.<\/p>\n\n\n\n

The smart parking function is described as having Level 4 capabilities in confined areas, allowing the driver to take their hands and eyes off the wheel under certain conditions. By assuming liability, BYD signals confidence in its technology and seeks to alleviate regulator concerns about unsupervised features.<\/p>\n\n\n\n

This risk\u2011transfer strategy mirrors Mercedes\u2011Benz\u2019s approach with its Drive Pilot Level 3 system in Germany, where the manufacturer accepts responsibility when the system is in control. For other companies, the lesson is that carefully bounded features with manufacturer liability can earn regulators\u2019 trust.<\/p>\n\n\n\n

Balancing innovation and caution<\/h3>\n\n\n\n

Chinese regulators have indicated that they still support innovation. A Reuters report noted that officials aim to resume Level 3 validation tests in 2026 and are working with companies such as Huawei and Changan to draft safety rules for higher levels.<\/p>\n\n\n\n

The same report noted that more than 60% of new cars sold in China in early 2025 had Level 2 features. BYD\u2019s approach\u2014scaling Level 2 features while building the groundwork for Level 3\u2014aligns with this timeline.<\/p>\n\n\n\n

The company rolled out God\u2019s Eye across its range for free, creating a massive fleet of vehicles that can collect data and improve algorithms. With regulators limiting public beta programmes, BYD\u2019s in\u2011house data becomes even more valuable for closed\u2011loop improvement.<\/p>\n\n\n\n

Conclusion<\/h2>\n\n\n\n

China\u2019s 2025 directive ended the free\u2011for\u2011all era of assisted\u2011driving marketing and demanded proof instead of promises. By banning inflated terminology, restricting public betas and unsupervised features, mandating hands\u2011on detection, and regulating software updates, MIIT reset the industry\u2019s priorities. <\/p>\n\n\n\n

The changes align with global movements in Europe and the United States, where regulations like UNECE DCAS<\/a>, Euro NCAP\u2019s 2026 protocols<\/a>, and NHTSA\u2019s AEB rule<\/a> push for robust driver monitoring, low\u2011light performance, and evidence\u2011based safety.<\/p>\n\n\n\n

For ADAS management teams, the reset is an opportunity to build better products. BYD\u2019s response shows that companies can adapt quickly.<\/p>\n\n\n\n

Others must follow by aligning language and HMI, building regulator\u2011ready evidence kits, stabilising hardware, integrating driver\u2011monitoring from the start, and engaging regulators and customers.<\/p>\n\n\n\n

Looking ahead, the next three years will likely see China approve the first Level 3 systems under strict supervision, global convergence on driver\u2011monitoring and dark\u2011scenario performance, consolidation among suppliers, near\u2011universal adoption of ADAS, and new data\u2011governance rules.<\/p>\n\n\n\n

Those who invest in evidence and trust will not only comply with China\u2019s hard rules but also gain a strategic advantage worldwide. In the end, the shift from hype to hard rules might be the best thing that ever happened to assisted driving.<\/p>\n\n\n\t\t

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