📱Ifanr (爱范儿)•Stalecollected in 56m
Huawei Qiankun ADS Pro launches on Deepal S07
💡See how Huawei is scaling its high-end autonomous driving stack into the mass-market vehicle segment.
⚡ 30-Second TL;DR
What Changed
Deepal S07 integrates Huawei's Qiankun ADS Pro system
Why It Matters
This partnership signals a shift in the automotive industry where advanced AI-driven ADAS is becoming a standard competitive differentiator in mid-range vehicles. It pressures other OEMs to accelerate their own intelligent driving software development.
What To Do Next
Analyze the integration of Huawei's ADS Pro to understand how modular AI driving stacks are being deployed across different vehicle architectures.
Who should care:Developers & AI Engineers
Key Points
- •Deepal S07 integrates Huawei's Qiankun ADS Pro system
- •Pricing starts at 154,900 RMB for the new model
- •Focuses on democratizing high-end intelligent driving features
🧠 Deep Insight
Web-grounded analysis with 9 cited sources.
🔑 Enhanced Key Takeaways
- •Huawei is committing over US$11.7 billion over the next five years to boost computing power essential for training and testing its semi-autonomous cars, with US$2.6 billion earmarked for research and development in 2026 alone.
- •The Qiankun ADS platform has accumulated over 10 billion kilometers of assisted driving mileage as of April 2026, with its autopilot features widely used across mainland China.
- •Huawei's intelligent driving solutions are integrated into over 50 models from 25 car brands, with a total of 1.7 million vehicles fitted with the system delivered to Chinese customers.
- •The Deepal S07's Huawei Qiankun ADS 4 Pro system features a comprehensive 27-sensor suite, including one all-solid-state LiDAR, three 4D millimeter-wave radars, eleven high-definition cameras, and twelve ultrasonic sensors.
- •Huawei's ADS 4.0 utilizes the WEWA (World Engine + World Behavior Model) architecture, which includes a cloud-based World Engine for AI-generated edge case scenarios and an in-vehicle World Behavior Model for multi-modal perception.
🛠️ Technical Deep Dive
- Qiankun ADS 4.0/5.0 Architecture:
- Utilizes the WEWA (World Engine + World Behavior Model) architecture.
- The cloud-based World Engine leverages AI-generated diffusion models for edge cases, providing high-quality scenarios at 1,000 times the density of real-world data, enabling "AI training AI."
- The in-vehicle World Behavior Model is an autonomous driving-native foundation model with multi-modal perception capabilities.
- ADS 5.0 (unveiled April 2026) integrates with WEWA 2.0, boosting training efficiency by 10x and introducing a cloud-based world model grounded in multi-agent game theory.
- Sensor Suite (Deepal S07 with ADS 4 Pro):
- Comprises 27 sensors, including one all-solid-state LiDAR (based on Limera co-optical-path design), three 4D millimeter-wave radars, eleven high-definition cameras, and twelve ultrasonic sensors.
- ADS 4.0 introduced new compact, high-precision solid-state LiDAR, in-cabin laser vision sensors, and distributed millimeter-wave radars.
- Computational Platform:
- Runs on the MDC 1000 platform, powered by the Ascend 910B chip, achieving a computational performance of 1,000 TOPS (tera operations per second).
- Performance Enhancements (ADS 4.0):
- Integrated with Huawei's XMC digital chassis engine, it reportedly reduces end-to-end latency by 50%, improves traffic efficiency by 20%, and cuts emergency braking incidents by 30%.
- Safety Features:
- Collision Avoidance System (CAS 4.0) provides five-dimensional safety coverage: all speeds, all directions, all targets, all weather conditions, and all scenarios.
- ADS 5.0 applies the Safety Risk Field theory, which quantifies kinetic, potential, and behavioral fields to generate dynamic risk heatmaps, reportedly reducing collision risk by 50%.
- ADS 5.0 upgrades to a "six-dimensional safety" system, adding "full-time-domain safety," covering pre-event warnings and post-event protections.
- Operating System:
- Qiankun OS (launched with ADS 5.0) features a deterministic low-latency engine, an end-to-end zero-trust security model, and a comprehensive safety redundancy architecture.
- Leverages Lingqu Bus to reduce in-vehicle signal latency by 30%.
- Strategic Approach:
- Huawei explicitly endorses a multi-sensor fusion approach and opposes pure vision-only solutions.
🔮 Future ImplicationsAI analysis grounded in cited sources
Huawei's platform strategy will lead to consolidation in the Chinese EV market.
By providing a standardized intelligent driving system and cockpit, Huawei creates a platform where automakers compete within its framework, potentially leading to margin pressure and consolidation for those on the edges.
Huawei will continue to dominate the intelligent driving system market in China.
Huawei's massive investment (US$11.7 billion over five years) in computing power, extensive partnerships (25 car brands, 50+ models), and accumulated driving data (10 billion km) position it to maintain a significant lead.
The 'democratization' of high-end intelligent driving will accelerate the adoption of advanced ADAS features.
By integrating advanced systems like Qiankun ADS Pro into more accessible price points, Huawei makes these features available to a broader consumer base, driving market acceptance and demand.
⏳ Timeline
2009
Huawei began developing in-vehicle connectivity hardware.
2013
Established connected car business unit.
2019-05
Established Intelligent Automotive Solution Business Unit (Intelligent Automotive Solution BU).
2020-10
Launched HI (Huawei Inside) intelligent automotive solution brand.
2024-04
Qiankun Intelligent Driving brand officially launched, alongside ADS 3.0.
2026-04
Huawei unveiled Qiankun ADS 5.0 and Qiankun OS.
📎 Sources (9)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
📰
Weekly AI Recap
Read this week's curated digest of top AI events →
👉Related Updates
AI-curated news aggregator. All content rights belong to original publishers.
Original source: Ifanr (爱范儿) ↗