Fortune | FORTUNE 21小时前
People, not new technologies, are the next hurdle in robotaxi adoption
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文章探讨了自动驾驶汽车(AVs)技术已趋于成熟,但其大规模推广面临的关键瓶颈在于政府法规和公众接受度。WeRide公司代表指出,虽然技术准备就绪,但与政府合作制定合适的监管框架至关重要。同时,建立公众信任,提升其对AVs的接受度也需要时间。高通公司则强调了行业内部透明度,特别是在训练数据方面,以及确保安全性和合规性是赢得公众信任的关键。此外,文章还提及了亚洲,特别是中国汽车产业在智能化和软件定义汽车方面的快速发展,正将汽车转变为“轮子上的智能手机”,为用户提供更多元化的车内体验。

🚗 技术成熟但推广受阻:文章指出,自动驾驶汽车(AVs)在技术层面已达到可规模化应用的成熟度,但其广泛部署的阻碍主要在于政府的法规制定以及公众对新技术的接受程度,这表明技术本身已非主要挑战,而政策与社会认同成为关键。

🤝 跨界合作与信任建立:为克服推广障碍,行业需要与政府紧密合作,共同完善法规。同时,像高通这样的科技公司强调,通过跨行业基准透明化训练数据、确保合规性以及优先保障行车安全,是建立公众信任、促进AVs融入日常生活的必要步骤。

📱 亚洲汽车智能化趋势:亚洲,尤其是中国,在汽车制造领域正经历深刻变革,汽车正日益具备智能手机般的丰富功能和用户友好体验。这种“软件定义汽车”的趋势,使得车辆内部空间成为一个多功能的数字环境,支持工作、娱乐和生活服务。

💡 AI赋能的未来出行:高通公司通过其在半导体领域数十年的经验,推动了“边缘AI”的发展,使得自动驾驶汽车的学习、推断和决策过程更加自动化。这不仅提高了车辆在不同地理环境和天气条件下的适应性,也为未来出行方式带来了革命性的潜力。

At this point, those working in the autonomous vehicle space think the problem isn’t technology, but rather people, and regulators in particular.

“It’s clearly mature enough to scale, but we have to work with the government on the regulation part,” said Kerry Xu, WeRide’s general manager for Singapore, at the Fortune Brainstorm AI Singapore conference on Wednesday. “Public acceptance, data, transparency…I think it takes time for the community to completely accept AVs as part of their normal life.”

Earlier this year, WeRide hosted Singapore Acting Transport Minister Jeffrey Siow at its Guangzhou headquarters, where the minister announced ambitious plans to debut AVs in the city’s public housing estates by the end of the year. The Chinese startup also debuted Singapore’s first fully driverless bus system earlier in July. 

ST Liew, president of Qualcomm’s Taiwan and Southeast Asia business, agreed that the private sector needed to help build an ecosystem of trust. “We always advocate that we should have cross-industry benchmark transparency in the training data and make sure that we are compliant,” he said.

“Take care of the safety, make sure that it is transparent, and then you can enjoy yourself while you’re in the car,” he continued.

Liew credited Qualcomm’s work on autonomous vehicles to the company’s four decades of experience working on semiconductors. He noted that the power of new chips allow for “AI at the edge” to make the process of learning, deduction, and decision-making more automated. This enables driverless cars to be deployed across different geographies and weather patterns, such as Southeast Asia.

Cars built in Asia, and particularly China, are now becoming more sophisticated, offering a wide array of customer-friendly assisted driving and software features, turning cars into smartphones on wheels.

Liew pointed out that the car industry is now shifting to the “software-defined car,” which allows drivers to do much more inside the vehicle.

“If I can go into the car, then I can conduct my meetings, I can use AI to ask where I am, book my restaurants, and all that,” Liew said, “just like it’s an extension of my office or my home.” 

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自动驾驶 AI 汽车科技 法规 公众接受度
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