36氪·2025-12-31 00:14Core Viewpoint - Xiaopeng Motors, under the leadership of He Xiaopeng, is positioning itself among the global leaders in autonomous driving technology, closely monitoring advancements in AI and directly comparing its technology with Tesla's [1][2]. Group 1: Autonomous Driving Technology Development - The essence of autonomous driving is a physical AI problem, where the combination of "large computing power + large data + large models" has proven effective in accelerating AI evolution [2]. - He Xiaopeng's recent test drive of Tesla's FSD V14.2 revealed significant advancements, with the system transitioning from L2 to a "quasi-L4" stage, showcasing improved decision-making and responsiveness in complex scenarios [5][9]. - The testing route was consistent with previous experiences, allowing for a clear comparison of technological iterations [6]. Group 2: Technical Consensus Among Leading Companies - Leading companies in the industry are forming a consensus on technology, focusing on pure vision solutions and end-to-end design logic to enhance autonomous driving capabilities [11][13]. - Both Tesla and Xiaopeng Motors are committed to a pure vision approach, relying on camera data for driving decisions, which reflects a convergence in their technological paths [13][14]. Group 3: Xiaopeng's Second-Generation VLA - Xiaopeng's second-generation VLA has restructured the traditional "vision-language-action" framework, eliminating the language translation step, which enhances decision-making efficiency and responsiveness [19]. - The system demonstrates a deep understanding of the physical world, effectively recognizing and responding to various driving scenarios, including traffic signals and pedestrian movements [20][24]. - The training data for the second-generation VLA has reached nearly 100 million clips, simulating a vast array of driving conditions, which supports its continuous learning and self-evolution capabilities [24]. Group 4: Market Differentiation and Localization - Xiaopeng's focus on localizing its technology for Chinese road conditions provides a competitive edge, particularly in complex driving environments that differ significantly from those in Silicon Valley [14][15]. - The second-generation VLA is designed to handle a variety of scenarios, including narrow roads and mixed traffic, which enhances its performance in localized contexts [15]. Group 5: Future Plans and Milestones - Xiaopeng Motors has set a clear timeline for the rollout of its autonomous driving technology, with plans to launch the second-generation VLA in early 2026 and introduce multiple L4-level Robotaxi models [32][34]. - The company aims to achieve parity with Tesla's FSD V14.2 by August 30, 2026, demonstrating confidence in its technological capabilities [34][37]. - The industry is transitioning from theoretical discussions to practical validations of autonomous driving technologies, with both Tesla and Xiaopeng Motors leading the way in this evolution [38][39].