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How Zhuoyu’s Panxing Brings Driver Assistance to Heavy Trucks
Panxing does not simply put a passenger car system in a truck: Zhuoyu says it reuses the model’s road understanding capabilities, adds about 400 million frames of truck specific data and adapts vehicle control for hea... PDS 4 is already in production for highway navigation assisted driving (NOA) in heavy truck frei...
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Key takeaways
- Panxing does not simply put a passenger car system in a truck: Zhuoyu says it reuses the model’s road understanding capabilities, adds about 400 million frames of truck specific data and adapts vehicle control for hea...
- PDS 4 is already in production for highway navigation assisted driving (NOA) in heavy truck freight.
- Zhuoyu reports fuel savings of 4.5%–7.5% from a fleet it tracked, but the available material does not establish a comparison baseline or independently verify the results.
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openai.comCreate a landscape editorial hero image for this Studio Global article: How did Zhuoyu Technology, formerly DJI Automotive, adapt its passenger-car driving model for commercial vehicles in the solution launched i. Article summary: Zhuoyu’s **Panxing (磐行)** solution, launched in Zhuhai on October 29, 2026, transfers its passenger-car driving intelligence to commercial vehicles rather than building an entirely separate driving model; it adds truck-s. Topic tags: general, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers, clic
Zhuoyu Technology’s Panxing commercial-vehicle driver-assistance system, unveiled in Zhuhai on October 29, 2026, is not a passenger-car system simply transplanted into a bigger vehicle. The company’s approach is to reuse its existing model’s understanding of roads, then train it on truck-specific data and adapt the hardware and vehicle controls to the demands of commercial vehicles. 1
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That distinction helps explain the two versions: PDS 4 is the production-focused system for heavy trucks on highway freight routes; PDS 5 is a planned expansion to more vehicle types and urban driving. 1
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One foundation, with truck-specific training and engineering
Zhuoyu describes its method as a “unified base, scenario enhancement and engineering adaptation.” In practice, that means:
- Reuse what the model already knows: Panxing builds on the passenger-car system’s ability to understand lanes, traffic, road rules and risks. Zhuoyu says its passenger-car technology draws on more than 3 billion kilometres of road data.
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- Train for truck scenarios: The company says it added about 400 million frames of heavy-truck-specific data, giving the system additional examples of the situations it must handle in commercial transport.
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- Adapt the vehicle systems: The work also involves changes to sensing and vehicle control, including adjustments for truck dynamics, braking and retarder coordination, safety redundancy and driver interaction.
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The need for those changes is physical, not just a matter of teaching the model new road scenes. A loaded heavy truck can weigh around 40 tonnes, has substantial blind spots and takes longer to stop than a passenger car. Zhuoyu says the braking chain can introduce close to a one-second delay, making early risk prediction and room for control especially important. 11
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What has to change for a truck
Panxing’s reported adaptations address both what the system can detect and how the vehicle responds:
- A lidar mounted inside the cab: Zhuoyu’s Jimu 2.0 system places the lidar inside the cab, where the company says it is less exposed to rain, snow, mud and stone impacts. Zhuoyu claims a highway detection range of up to 500 metres and says the system can identify objects such as tires and cardboard boxes, which may be small or have low reflectivity. The 500-metre figure is a company-reported specification; the available material does not provide independent test results across different weather, obstacles or detection-confidence levels.
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- Awareness of the trailer and load: Rather than treating a tractor-trailer as one passenger-car-like unit, the system uses vision to identify trailer posture, estimate the angle between the tractor and trailer, and factor in real-time load information when assessing risk and adjusting control.
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- Coordinated braking and power: On slopes and curves, the system must coordinate the engine, retarder, auxiliary braking and service brakes to suit the truck’s dynamics.
PDS 4 vs. PDS 5: what’s available and what’s planned
| Version | Model and capabilities | Intended use and status |
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| PDS 4 | Based on Zhuoyu’s end-to-end model version 4.0 or later; supports highway NOA, or navigation-assisted driving. | Focused on heavy trucks running trunk freight routes. The company said it had reached production delivery when Panxing was announced. |
| PDS 5 | Based on Zhuoyu’s native multimodal foundation model; planned to support highway and urban NOA. | Intended to expand into urban commercial-vehicle use, including buses, light trucks and vans. This is a planned next step, not the same as PDS 4’s established production deployment. |
The key difference, then, is not just a newer model. PDS 4 is aimed at a defined, already-deployed use case: heavy trucks on highway freight routes. PDS 5 is intended to broaden the system to more vehicle types and urban travel. Reports describe PDS 5’s planned capabilities; they should not be confused with PDS 4’s production status. 1
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Fuel-saving claims: substantial fleet data, but limits remain
Panxing also includes an AI reinforcement-learning algorithm designed to improve fuel efficiency. According to reports, it tests driving strategies in simulation and considers road gradients, curves, powertrain and braking conditions, and surrounding traffic to help determine when to ease off the throttle, apply power or use systems such as the retarder. 1
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Zhuoyu reports fuel savings of 4.5%–7.5%. The company says it tracked more than 200 production vehicles for about two months, covering more than 20 million kilometres; one report specifies 230 trucks. 1
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Those figures should be read as company-reported fleet results, not as an independently verified controlled trial. The available information does not fully explain the comparison baseline or how route, load and driver differences affected the results. It therefore does not establish that every fleet would achieve the same savings.
Production deployment and announced plans
The clearest operating example is Shaanxi Automobile’s Shacman X5000. Reports say the PDS 4-equipped truck entered production in June 2026, and several hundred units were already running on Yunda’s freight routes. 6
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At the Panxing launch, Zhuoyu also announced collaborations and future vehicle plans. These included planned deliveries of XCMG Hanjing new-energy heavy trucks; year-end production or launch schedules for Sinotruk Sitrak, Foton Auman Galaxy 5 and Dongfeng Tianlong KH models; and nominations for models including FAW Jiefang’s J7 and J6 Pro. For buses, the Yutong Yuwei E9 PRO city version was planned to use PDS 5 and support highway and urban NOA. 3
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Apart from the Shacman X5000 already in operation, these are launch-time announcements or plans—not confirmation that the vehicles have since been delivered or entered production.
Driver assistance is not driverless operation
Panxing is described as a commercial-vehicle driver-assistance system. Highway NOA, long-range sensing and safety redundancy do not mean a truck can operate without driver supervision. Drivers still need to monitor the road and system status and be ready to take control when needed. 10
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Panxing does not simply put a passenger car system in a truck: Zhuoyu says it reuses the model’s road understanding capabilities, adds about 400 million frames of truck specific data and adapts vehicle control for hea...
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Panxing does not simply put a passenger car system in a truck: Zhuoyu says it reuses the model’s road understanding capabilities, adds about 400 million frames of truck specific data and adapts vehicle control for hea... PDS 4 is already in production for highway navigation assisted driving (NOA) in heavy truck freight.
What should I do next in practice?
Zhuoyu reports fuel savings of 4.5%–7.5% from a fleet it tracked, but the available material does not establish a comparison baseline or independently verify the results.