date:2026-07-21 classification:業界動向 browse:466 source:Shenzhen XXX Technology Co., Ltd.
News from this newspaper (Reporter XXX) Recently, with Xiaopeng and Fuyao jointly mass-producing and delivering AI dimming privacy glass, Tianxing exploring and releasing the "Walker" series of satellites end point, and the 32nd Annual Meeting and Exhibition of the Chinese Society of Automotive Engineers The artificial intelligence main forum was successfully held, and the field of AI vehicle and travel hardware ushered in a period of intensive explosion. From the detailed innovation of the intelligent cockpit to the technological breakthrough of autonomous driving, from the iteration of vehicle core hardware to the upgrade of outdoor travel equipment, artificial intelligence is deeply penetrating the whole scene of travel, promoting the transformation of travel tools from "transportation" to "embodied intelligence", opening a new era of travel intelligence. {{ TAG1}}
In the field of vehicle hardware, cockpit intelligence has become the core track of enterprise competition, and the integration of AI technology has realized the leap from "function overlay" to "scene service". On April 10, Xiaopeng Group and Fuyao Group jointly held a mass production delivery event. The strongest AI dimming privacy glass created by both parties was officially launched on the flagship model of Xiaopeng GX, marking the official entry of vehicle dimming glass into the AI era. This glass relies on LC dye liquid crystal technology, combined with the vehicle's electronic and electrical architecture and AI large model, to achieve an intergenerational upgrade from "passive shading" to "active light understanding". It has seven core properties such as fast light change, strong privacy, and high sun protection. It can adjust the transparency in seconds according to user instructions and scene needs, and adapt to various travel scenarios such as rest, office, and baby care, making the car cockpit a warmer "third living space".
The hardware upgrade and technology landing in the field of autonomous driving are also accelerating, and the end-to-end large model and computing power platform have become the core support. At the artificial intelligence main forum of the annual meeting of the Chinese Society of Automotive Engineers held in Chongqing, the white paper "AI Car Preliminary Imagination and Exploration Practice" was officially released, clearly proposing that VLA (Autonomous Driving Basic Model) will change the design logic of the autonomous driving system, and the optimization of computing power and data closed-loop will become the core breakthrough point for efficient self-iteration of the agent. At present, many domestic enterprises have achieved technological breakthroughs: Huawei's smart driving is equipped with over 1 million vehicles, and plans to promote high-speed L3 pilot commercial use by the end of 2025; the urban auxiliary driving system SuperDrive (HSD) launched by Horizon has completed the Chongqing complex road conditions on the dark blue L6; the 5000P computing power cluster built by Changan Automobile supports the rapid improvement of anthropomorphic indicators under its VLA architecture, and the end-to-end smart driving architecture has entered the quasi-mass production stage.
In addition to the core hardware of the vehicle, the outdoor travel hardware also uses AI technology implementation scene extension and experience upgrade. On April 8, Tianxing Exploration released new products of the "Walker" series of satellites in Beijing, including vehicle-mounted satellite end point "Walker Pro", portable satellite end point "Walker Mini" and supporting APP, breaking the application barrier of satellite communication technology. Among them, "Walker Pro" is specially designed for off-road outdoor crossing, with one-click star finding and automatic star-to-star functions, which can provide high-speed and stable satellite broadband services. It is suitable for extreme environments such as Taklamakan Desert and Al Jinshan. After nearly 50,000 kilometers of field verification, it has become the only domestic satellite communication end point that accompanies the N35 extreme crossing line in China, providing a reliable communication guarantee for outdoor travel. {{ TAG13}}
Industry data shows that the development of intelligent networked vehicles in our country has entered the fast lane. From January to July 2025, the cumulative sales of new L2 passenger cars in our country reached 7.7599 million, with a penetration rate of 62.58%, an increase of 6 percentage points year-on-year. AI technology is upgrading from industrial embellishment to the core engine of reconstructing the travel value chain, deeply penetrating the whole life cycle of R & D, production, and end point use. In the field of R & D and production, the combination of AI and digital twin technology greatly shortens the technical verification cycle and reduces R & D costs; in the end point application field, AI promotes driving automation from auxiliary driving to high-order autonomous driving, and the cockpit intelligentizes the qualitative change from "voice assistant" to "digital co-pilot".
Industry experts said that the rapid development of AI vehicle and travel hardware cannot be separated from the collaborative efforts of industry, university and research and the innovative practices of enterprises. The white paper released by the China Society of Automotive Engineers not only outlines the future portrait of AI Cars, but also proposes a "new triangle of survival" for enterprises to guide the industry from manufacturing value to operational value transformation, from hard assets to data-driven soft assets transformation. At present, Dongfeng, Changan, Huawei, Tencent, Baidu and other enterprises have formed a differentiated layout, from AI large model research and development, computing power platform construction to hardware product landing, all-round promotion of intelligent travel upgrade.
Although the industry is developing rapidly, it still faces multiple challenges: the safety risks of intelligent driving, the lack of industry standardization system, and insufficient investment in core technology research and development are still the key to restricting the high-quality development of the industry. Industry experts suggest that it is necessary to accelerate the conquest of core technologies such as chips and operating systems, break down the technical barriers of enterprises, and promote resource sharing. At the same time, the government and enterprises should work together to improve industry standards and policies and regulations, clarify the responsibility boundaries of L3 and above autonomous driving, and open up the blockade of technology landing.
With the continuous iteration of AI technology and the continuous innovation of hardware products, the travel field is ushering in a profound change. From the intelligent upgrade of the car cockpit to the safety of outdoor travel, from the gradual implementation of autonomous driving to the comprehensive construction of the travel ecosystem, AI is redefining the way of travel. In the future, with the continuous deepening of collaborative innovation between industry, university and research, AI vehicle and travel hardware will achieve wider scene coverage, provide users with a safer, more convenient and intelligent travel experience, and promote our country's travel industry to the global leading level.
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