Changan Auto Denies Partnership with Qianli Technology
💡See how major OEMs are prioritizing in-house AI stacks over third-party partnerships in the autonomous driving space.
⚡ 30-Second TL;DR
What Changed
Changan Auto denies investment or partnership with Qianli Technology
Why It Matters
This reinforces the trend of major automotive OEMs moving toward full-stack in-house development of autonomous driving software rather than relying on third-party suppliers.
What To Do Next
If you are an autonomous driving vendor, focus on providing modular components rather than full-stack solutions to OEMs with strong in-house R&D.
Key Points
- •Changan Auto denies investment or partnership with Qianli Technology
- •Company prioritizes its proprietary 'Tian-Shu' intelligent driving system
- •Tian-Shu system is already certified for L3 autonomous driving
🧠 Deep Insight
Web-grounded analysis with 21 cited sources.
🔑 Enhanced Key Takeaways
- •Changan Auto's proprietary 'Tian-Shu' intelligent driving system is central to its broader "Dubhe Plan 2.0" strategy, which aims to achieve full-scenario L3 autonomous driving by 2026 and L4 by 2028.
- •Changan received China's first dedicated L3 autonomous license plate ("Yu AD0001Z") in December 2025 for its Deepal SL03 electric sedan, permitting operation on specific highways and urban expressways in Chongqing.
- •By April 2026, Changan had also secured an L4-level Robotaxi testing license in Chongqing, indicating a "dual-track" approach to accumulate real-world data through mass-market L3 models while validating L4 for future mobility services.
- •Qianli Technology, formerly Lifan Technology, rebranded in February 2025 and focuses on providing Level 4 (L4) autonomous driving, super intelligent agents, and advanced intelligent cockpit solutions, aiming to equip 8 million vehicles within three years and launch a comprehensive Robotaxi solution by 2027.
- •Unlike the denied partnership with Changan, Qianli Technology has established collaborations with Geely and BAIC, with its L4 architecture, "Qianli Haohan G-ASDL4," being integrated into Geely Auto Group's EvaCab Robotaxi prototype.
📊 Competitor Analysis▸ Show
| Competitor/Feature | L3/L4 Capabilities | Key Partnerships/Technology | Notes |
|---|---|---|---|
| Changan Auto (Tian-Shu) | L3 certified (Deepal SL03), L4 Robotaxi license in Chongqing. Aims for full-scenario L3 by 2026, L4 by 2028. | Self-developed 'Tian-Shu' system, integrates driving, cockpit, chassis. Collaborates with Tencent for data. | Emphasizes a "dual-track" approach for L3 mass-market and L4 validation. |
| Arcfox (BAIC Group) | L3 certified (Alpha S) for conditional operation on public roads in Beijing. | Utilizes Huawei's Qiankun Intelligent Driving system. | One of the first two models to receive L3 permits in China. |
| BYD | Debuted L4 autonomous parking feature. Offers to cover accident liability for autonomous parking. | Focus on advanced parking and assisted driving packages. | Known for aggressive stance on liability for autonomous features. |
| Xpeng | High usage rate of its XNGP system, including city driving. | XNGP system. | Strong focus on real-world usage and continuous improvement through data. |
| Zeekr (Geely) | Launched "G-Pilot" L3-ready autonomous driving technology, with models like Zeekr 9X having L3-ready capabilities. | G-Pilot solution, utilizes two Orin-X chips (508 TOPS), General Automated Evasion System (G-AES), Full-Capacity Vehicle-to-Parking (V2P). | Inherits Volvo's safety expertise. |
| Huawei | Qiankun Intelligent Driving system, 1.7 million installations by April 2026. | Provides full-stack intelligent driving solutions to automakers like Arcfox. | A major technology provider in the Chinese autonomous driving ecosystem. |
🛠️ Technical Deep Dive
- Changan's 'Tian-Shu' intelligent driving system integrates core technologies across driving, cockpit, and chassis, including end-to-end navigation, multimodal AI models, distributed electric drive, and wire-controlled chassis.
- The system achieves four-wheel independent control, with drive and brake response times of 10ms, reducing hydroplaning risks by 76% and correcting trajectories within 0.1 seconds during a tire blowout.
- The L3 system utilizes a sensor suite comprising 5 millimeter-wave radars, 6 cameras, and 12 ultrasonic radars, providing 360-degree external environment perception with 5-fold sensing redundancy in the front.
- It boasts a maximum detection distance exceeding 200 meters and a measurement accuracy of up to 10 centimeters, capable of identifying vehicles, pedestrians, cyclists, and other obstacles.
- The system can acquire road information within an 8-kilometer range in real-time, enabling lane-level high-precision positioning and precise path planning.
- Changan plans to enhance its perception capabilities by upgrading its self-developed satellite-architecture LiDAR to over 200 lines and tripling computing power by Q3 2026, while simultaneously aiming for a 30% cost reduction compared to peers.
- The L4 Robotaxi solution is built upon the core Tian-Shu end-to-end large model, sharing the same underlying algorithm architecture with its mass-produced L2 and L3 models to ensure technological homology and scalability.
🔮 Future ImplicationsAI analysis grounded in cited sources
⏳ Timeline
📎 Sources (21)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: 36氪 ↗