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中國首台原生 Robotaxi 原型車即將亮相
💡具 L4 與物理 AI 的 Robotaxi 推動中國具身自動駕駛前沿。（24字）
⚡ 30 秒速覽
有什麼變化
中國首台原生 Robotaxi 原型 4 月 24 日首發
為什麼重要
加速中國 L4 自動駕駛商業化，推動移動領域具身智能發展。
下一步行動
基準測試吉利 WAM 模型對比開源 L4 模擬器以開發 Robotaxi。
誰應關注：Developers & AI Engineers
關鍵要點
- •中國首台原生 Robotaxi 原型 4 月 24 日首發
- •曹操出行定制版 2027 年量產
- •基於 L4 級 AI 數字架構與 WAM 模型
- •引入物理 AI 突破算力與感知上限
🧠 深度解析
本篇為 AI 生成分析，非原文內容。
🔑 增強重點摘要
- •The vehicle is developed under Geely's 'Geely AI' strategy, which aims to integrate large-scale model technology across its entire vehicle lifecycle, from manufacturing to in-cabin user experience.
- •The 'WAM' model refers to Geely's proprietary 'World AI Model,' a multimodal foundation model designed to handle complex urban traffic scenarios and edge-case perception that traditional rule-based systems struggle with.
- •The platform utilizes a modular 'skateboard' chassis architecture, allowing for rapid iteration of the cabin interior and sensor suite configurations to meet varying regulatory requirements across different Chinese provinces.
📊 競品分析▸ Show
| Feature | Geely Robotaxi (Prototype) | Baidu Apollo RT6 | Pony.ai Gen 7 |
|---|---|---|---|
| Architecture | Native L4 AI / WAM Model | Modular / Apollo AD | Integrated / PonyBrain |
| Production Target | 2027 | In Operation | In Operation |
| Compute Focus | Physical AI / Edge | Cloud-Edge Hybrid | Sensor Fusion |
🛠️ 技術深入
- Architecture: Built on a native L4-grade digital-physical integrated architecture, decoupling software from hardware to allow for OTA updates of the entire driving stack.
- Physical AI Integration: Employs a closed-loop system where the WAM model processes high-fidelity sensor data (LiDAR, 4D Radar, and high-res cameras) to predict object behavior in real-time.
- Compute: Utilizes a centralized domain controller with high-TFLOPS capability, specifically optimized for transformer-based vision models to reduce latency in decision-making.
🔮 前景展望基於引用來源的 AI 分析
Geely will achieve cost parity with ride-hailing services by 2028.
The shift to a native, mass-produced Robotaxi platform significantly reduces the per-unit hardware overhead compared to retrofitted consumer vehicles.
The WAM model will be integrated into Geely's consumer-facing ADAS products.
Leveraging the data collected from the Robotaxi fleet will accelerate the training and deployment of advanced driver-assistance features in Geely's mass-market passenger cars.
⏳ 時間線
2021-06
Geely establishes its dedicated autonomous driving technology division.
2023-09
Geely announces the 'Geely AI' strategy focusing on large model integration.
2025-02
Initial testing of the WAM model on closed-course proving grounds.
📰
AI 週報
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原始來源： IT之家 ↗
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