人机共驾不是权宜之计！业内专家热议智驾安全 中科院王宏安：机器不可能完全取代人

Core Viewpoint - The discussion on intelligent driving safety is ongoing, emphasizing that human-machine collaboration will be crucial for future developments in autonomous driving technology [1][3]. Group 1: Human-Machine Collaboration - Current intelligent driving capabilities do not meet user expectations, highlighting the need to build trust between humans and machines to optimize collaboration [3][4]. - If humans disengage from driving control, their driving skills may deteriorate, leading to risky behavior due to overconfidence in autonomous systems [3][4]. Group 2: Industry Challenges - The urban navigation assistance feature (NOA) in intelligent driving vehicles faces challenges due to the complexity and diversity of China's traffic infrastructure, affecting user trust in these systems [3][4]. - Companies are focusing on enhancing the capabilities of intelligent driving products to handle complex scenarios, including increasing computational power and automating data processes for rapid system iteration [4]. Group 3: Technological Advancements - The integration of large models in AI is expected to improve human-machine interaction by better understanding commands and emotional nuances [4]. - In five years, AI-driven vehicles may evolve from mere tools to intelligent companions, with systems potentially available in vehicles priced around 100,000 yuan [5]. - The automotive industry anticipates the mass production of intelligent cabins with long-term memory capabilities, leading to personalized driving experiences [5].