Group 1 - Xiaomi's YU7 achieved over 200,000 pre-orders in just three minutes, setting a new benchmark in the smart car industry, which is seen as a "myth" that few can replicate [1] - The success of YU7 is attributed to its emotional value, appealing design, competitive pricing, and strong marketing by Lei Jun, which resonated with consumers [1][2] - Other companies, such as XPeng, are also focusing on emotional value in their products, with XPeng's new P7 emphasizing both technology and aesthetics [2][3] Group 2 - The concept of emotional value is becoming central to the strategies of various automakers, with XPeng's founder emphasizing the importance of aesthetics alongside technology [2][3] - Companies like Li Auto, Leap Motor, and Great Wall are also working on enhancing emotional value in their products, indicating a broader industry trend [3][19] - The shift towards emotional value reflects a change in consumer preferences from basic transportation needs to a desire for personalized and emotionally resonant products [20] Group 3 - Cross-domain integration is identified as a key factor in enhancing emotional value in smart vehicles, requiring collaboration across various functional domains [3][21] - XPeng and Volkswagen's collaboration on the CEA architecture aims to support both electric and hybrid vehicles, showcasing the industry's move towards integrated systems [24] - Companies are investing in advanced computing architectures to facilitate cross-domain integration, which is essential for delivering emotional value in smart cars [25][28]

本次车展，佑驾创新围绕 "驾舱融合"战略，以L2全场景辅助驾驶方案的稳健落地、大模型赋能下的 智舱交互升级，及出海战略的纵深推进，展现了公司从技术研发到生态共建的全维竞争力，并以全球 化视野，助力智能汽车产业迈向更安全、更普惠的新征程。 全场景辅助驾驶 、 量产记忆行车方案 紧守安全底线 、 深耕刚需场景 打造出行新范式。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 据 IPO早知道消息， 深圳佑驾创新科技股份有限公司（ 2431.HK）携系列产品惊艳亮相，并推出记 忆行车量产方案与座舱大模型智能管家BamBam。 当前，智能化已成为行业共识。围绕 "如何走向大众、惠及大众"这一核心命题，佑驾创新依托全栈 自研能力，打造兼具技术先进性与商业可行性的产品谱系，为用户提供实用、好用、爱用的组合辅助 驾驶功能。 针对城市通勤这一用户高频刚需，佑驾创新推出记忆行车解决方案，深度融合安全与效率，让辅助智 驾的安心、高效、便捷触达每一位用户。 基于 BEV+MapTR+时空联合规划算法，系统在学习轨迹后，即可实现点到点领航辅助驾驶。通过实 时感知与动态规划，系统能灵活应对拥堵 ...

Investment Rating - The report suggests to pay attention to the industry and its developments [4] Core Insights - The high-level intelligent driving technology is becoming more accessible by 2025, with an upward trend in the industry chain's prosperity driven by mature supply-side technologies and demand-side strategies [3][9] - The new paradigm of computing power in vehicles includes DSA heterogeneous integration, cockpit fusion, and RISC-V architecture, which enhances algorithm optimization and cost efficiency [3][10][17] - Domestic alternatives are emerging with quality supply, and there is potential for technology to go abroad, especially in the mid-to-high-end NOA segment [3][24][26] - The trend of integrated hardware and software is leading to competitive intersections among various players, with traditional manufacturers and new forces both investing in self-research and collaboration [3][27] - The economic analysis of self-research in intelligent driving indicates an annual cost of approximately 2 billion RMB, with significant investments in SoC and algorithms [3][28] Summary by Sections 1. New Paradigm of Computing Power - The supply side is seeing advancements in intelligent driving hardware and software, with improved cost-performance ratios [3][9] - The demand side is influenced by traditional manufacturers promoting lower price points for intelligent driving features [3][9] - The architecture is evolving towards a more integrated approach, moving from multi-box systems to single-chip solutions [3][14] 2. Domestic Alternatives and Technology Export - The domestic market is seeing a growing presence of local suppliers in the mid-to-high-end NOA segment, with companies like Horizon Robotics and Black Sesame emerging as key players [3][26] - The low-end segment remains dominated by foreign companies, but domestic technologies are expected to expand internationally [3][26] 3. Competitive Landscape and Self-Research - Leading companies are enhancing their capabilities by integrating computing power, toolchains, and algorithms [3][28] - The competition is intensifying as companies like Huawei and Tesla are investing heavily in self-research and development of their own chips and algorithms [3][27] - The report highlights the importance of a comprehensive approach to self-research, with significant financial commitments required to maintain competitiveness [3][28] 4. Company Analysis - Companies like NVIDIA and Huawei are leading in hardware performance and ecosystem development, while also seeking to strengthen their algorithm capabilities [3][32][39] - Horizon Robotics is positioned as a leader in providing integrated intelligent driving solutions, with a focus on software and service revenue [3][51]