🏠IT之家•Freshcollected in 12m
Huawei Qiankun Surpasses 100 Million Point-to-Point Drives
#autonomous-driving#assisted-parking#vehicle-milestones#real-world-datahuawei-qiankun-intelligent-drivinghuaweihuawei qiankunassisted drivingassisted parking
💡Huawei’s massive usage figures reveal how quickly assisted driving is scaling in real-world vehicles.
⚡ 30-Second TL;DR
What Changed
The parking-space-to-parking-space driving feature has been used more than 100 million times.
Why It Matters
These usage milestones suggest strong real-world adoption and provide Huawei with a large operational dataset for evaluating assisted-driving behavior. For automotive AI teams, the figures also indicate increasing consumer familiarity with automated parking and point-to-point driving workflows.
What To Do Next
Benchmark your parking stack against Huawei Qiankun’s point-to-point and assisted-parking usage metrics when defining real-world autonomy adoption targets.
Who should care:Developers & AI Engineers
Key Points
- •The parking-space-to-parking-space driving feature has been used more than 100 million times.
- •Qiankun assisted parking has surpassed 1 billion cumulative uses.
- •Cumulative assisted-driving mileage exceeded 14.1 billion kilometers, and equipped vehicles surpassed 40.6 billion kilometers in total mileage.
- •The July safety report recorded 10.6 billion monthly assisted-driving kilometers and a 94.7% monthly active-user rate.
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •Huawei Qiankun (formerly ADS) utilizes an end-to-end neural network architecture that integrates perception and decision-making to handle complex urban traffic scenarios without relying on high-precision maps.
- •The system has expanded its 'Parking-Space-to-Parking-Space' capability to cover a vast majority of urban and rural roads across China, significantly reducing the need for driver intervention in unstructured environments.
- •Huawei's data accumulation is bolstered by the 'Cloud-to-Vehicle' feedback loop, where edge cases encountered by the fleet are uploaded, simulated, and retrained in the cloud to improve system performance via OTA updates.
- •The Qiankun brand was officially rebranded from Huawei ADS (Advanced Driving System) in early 2024 to better position its intelligent automotive solutions as a standalone business unit within the Huawei Intelligent Automotive Solution BU.
- •The system's safety performance is supported by a multi-sensor fusion approach, combining LiDAR, millimeter-wave radar, and high-definition cameras to achieve 360-degree environmental awareness even in low-light or adverse weather conditions.
📊 Competitor Analysis▸ Show
| Feature | Huawei Qiankun | Tesla FSD (China) | XPeng XNGP |
|---|---|---|---|
| Architecture | End-to-End Neural Network | End-to-End (v12+) | End-to-End / Transformer |
| Sensor Suite | LiDAR + Camera + Radar | Vision-Only | LiDAR + Camera |
| Map Dependency | Mapless (BEV+Transformer) | Mapless | Mapless (XBrain) |
| Market Focus | China (High-end/Luxury) | Global (Regulatory pending) | China (Mass market) |
🛠️ Technical Deep Dive
- Architecture: Utilizes a Transformer-based BEV (Bird's Eye View) network combined with an Occupancy Network to detect general obstacles without pre-defined 3D models.
- Compute Platform: Powered by Huawei's MDC (Mobile Data Center) computing units, specifically the MDC 610/810 series, providing high TOPS for real-time inference.
- Training Infrastructure: Leverages Huawei's Ascend AI clusters for massive-scale simulation and model training, processing petabytes of driving data collected from the fleet.
- Perception: Employs a 'God's Eye' view algorithm that fuses multi-modal sensor data to reconstruct the 3D environment in real-time, enabling precise path planning in narrow or complex parking structures.
🔮 Future ImplicationsAI analysis grounded in cited sources
Huawei will achieve Level 3 autonomous driving certification in major Chinese cities by 2027.
The rapid accumulation of 40.6 billion kilometers of data provides the necessary safety validation required by Chinese regulators to transition from L2+ to L3 systems.
Qiankun will become the primary revenue driver for Huawei's Intelligent Automotive Solution BU by 2028.
The shift toward a software-defined vehicle model and the high adoption rate of Qiankun across partner brands (Luxeed, AITO, Stelato) indicates a transition from hardware-heavy to high-margin software licensing revenue.
⏳ Timeline
2021-04
Huawei debuts its first-generation ADS (Autonomous Driving System) at the Shanghai Auto Show.
2023-04
Launch of ADS 2.0, introducing the 'Mapless' urban navigation capability.
2024-04
Huawei officially rebrands its intelligent driving solution to 'Qiankun' at the Beijing Auto Show.
2025-01
Qiankun system reaches 10 billion kilometers of total assisted-driving mileage.
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Original source: IT之家 ↗