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NewsMaterial2 min readDisconfirmAI Editorial

Chinese ADAS Provider Zhuoyu Tech Launches 'Panxing' for Commercial Vehicles, Covering Over 90% of Domestic Heavy Truck Market

Zhuoyu Tech has migrated its passenger car autonomous driving technology to commercial vehicles, partnering with six major truck manufacturers holding over 93% market share, and claims a 4.5%-7.5% fuel saving rate with a one-year payback period.

2026-10-30 12:04 GMT+8

On October 29, Chinese intelligent driving solution provider Zhuoyu Technology officially launched the 'Panxing' advanced driver-assistance system (ADAS) for commercial vehicles, marking an expansion from passenger cars to heavy trucks, buses, and light trucks. The solution comes in two versions: PDS 4, which is already in mass production and supports highway Navigation on Autopilot (NOA) for long-haul logistics, and PDS 5, planned to support urban NOA for city-driving scenarios.

Zhuoyu CEO Shen Shaojie noted that the penetration rate of intelligent driving in China's commercial vehicle sector is currently less than 1%, significantly lower than the over 30% adoption of L2+ systems in passenger cars. He predicts a rapid growth phase for commercial vehicle ADAS in the next two to three years. For suppliers with existing passenger car data, migrating trained large models is more cost-effective than developing independent systems from scratch. Zhuoyu's passenger car ADAS has accumulated over 3 billion kilometers of data, supplemented by approximately 400 million frames of specific heavy-truck data for targeted training.

Technically, Liu Sikang, VP of Zhuoyu's commercial vehicle business, summarized the approach as 'unified foundation, scenario enhancement, and engineering adaptation.' To address challenges like long braking distances and large blind spots in heavy trucks, the new solution features the 'JiMu 2.0' perception system, placing LiDAR inside the cabin to mitigate weather interference and achieving a detection range of up to 500 meters on highways. The system also uses visual recognition to estimate trailer angles and adjusts steering and braking based on real-time load information.

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Economic viability is critical for commercial clients. According to Zhuoyu, its fuel-saving algorithm, trained via reinforcement learning, achieved a 4.5%-7.5% reduction in fuel consumption across over 200 tracked mass-produced heavy trucks in the past two months. Assuming 800 km of daily operation, each truck can save approximately 20,000 to 30,000 RMB annually in fuel costs alone. Including reductions in driver fatigue, accidents, and insurance premiums, Zhuoyu estimates the system pays for itself within about one year.

In terms of market reach, Zhuoyu has partnered with six major domestic heavy truck manufacturers: XCMG, Shaanxi Automobile Group, Sinotruk, FAW Jiefang, Foton Motor, and Dongfeng Commercial Vehicles. Zhuoyu states these companies collectively hold over 93% of the domestic heavy truck market. The first mass-production client, Shaanxi Auto, began delivering the Delong X5000 equipped with PDS 4 in June, with hundreds of units operating on Yunda Express lines. XCMG's Hanjing new energy trucks and Sinotruk's Sitrak high-end models are scheduled for delivery by year-end. Additionally, Zhuoyu is advancing overseas collaborations, with European projects expected to launch next year.

Sources

  • leiphone.com↗
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