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区块链有可能让自动驾驶更加安全

不久前,全球最大共享出行公司Uber在一辆自动驾驶汽车撞击亚利桑那州坦佩市的一名行人后遇到了麻烦。

据《卫报》报道,警方公布的视频显示,即使在碰撞前她在车前可见,SUV的LIDAR和雷达系统也未能检测到受害者。

虽然没有足够的数据来确定自动驾驶汽车是否比人为驾驶汽车更安全,但这项技术背后的前提似乎表明了这一点。自动驾驶技术涉及高度敏感的相机和传感器,配备了人工智能和机器学习方面的最新技术。

但从Uber案例中可以看出,这项技术还不够完善,在大规模消费推出之前还有很多工作需要完成。传感器和摄像机的精度、速度和一致性需要改进,以便它们可以毫秒检测物体并作出相应的响应。

虽然区块链可能主要是在人工智能和机器学习方面发挥功效,但这种加密货币背后的技术可能会对提高自动驾驶汽车的安全性做出一些贡献。无人驾驶汽车背后的技术在很大程度上取决于必须在短时间内以高精度收集、分析和利用的大数据。

另一方面,区块链更多的是确保数据的透明度和准确性,同时保护数据不被操纵。来自麻省理工学院的报告显示,恶意网络攻击是采用自动驾驶汽车技术的重大挑战。虽然人工智能和机器学习方面的进步可能会解决由于技术错误而发生的碰撞问题,但他们可能无法解决该技术在黑客攻击方面的漏洞。

试想一下,如果恐怖分子黑客在拥挤的街道或高速公路上访问一些自动驾驶汽车的数据库会发生什么?特别是当汽车被修改为由中央机构控制时,后果将是灾难性的。

区块链引入了透明和分散式分类帐的概念,可以安全地验证和存储数据。这种技术可以帮助无人驾驶汽车在从环境中收集数据时验证数据的准确性,这意味着错误的空间会非常小。

此外,鉴于技术的不变性,数据在区块链系统中的存储保证了黑客的安全。尽管理论上可以破解区块链,但破解区块链上所有计算机的计算能力几乎是不可能的。同样,由区块链驱动的自驾车,网络连接不会停机。在Uber使用的集中式系统中,连接问题可能导致系统故障。这意味着在网络故障期间发生事故的可能性很高。

区块链在无人驾驶汽车技术中的应用不仅可以确保安全,还可以保证用户个人数据安全。

在由区块链驱动的无人驾驶出租车中,用户信息(包括他们的姓名和特定的接送点)被存储在分布式且高度安全的分类帐中,使得黑客无法访问。

除了确保安全之外,这项技术还将改善出租车向客户收费并追踪其账户的方式。智能合约技术有权通过确保每一方保持其交易的一部分来使付款流程顺利进行,并且在发生争议时达成友好的解决方案,而不涉及第三方。出租车业主也会发现,更容易跟踪和安全存储他们的财务记录。

随着无人驾驶汽车技术的不断发展,区块链中还有很多领域需要探索。也许在未来的几年内,完美结合人工智能、机器学习和区块链以完善无驱动汽车技术的解决方案将最终得到应用。

A few days ago, Uber, the world largest taxi sharing company, got into trouble after one of its self-driving cars hit and killed a pedestrian in Tempe, Arizona.

According to the Guardian, footage released by the police shows that the SUV’s LIDAR and radar system failed to detect the victim even though she was visible in front of the car before the collision.

The Uber accident underlines what have been on the minds of most of us; just how safe are self-driving cars compared to their human-operated counterparts?

While there isn’t enough data to determine whether autonomous cars are safer than human-driven ones, the premise behind the technology seems to suggest so. The self-driving technology involves highly sensitive cameras and sensors equipped with the latest technology in AI and Machine Learning.

But as is evident in the Uber case, this technology is still not perfect, and there is a lot that needs to be done before it is rolled out for mass consumption. The accuracy, speed and consistency of the sensors and the cameras need to be improved so they can detect objects in milliseconds and respond accordingly.

Even when this is mostly a function of AI and Machine Learning, blockchain, the technology behind cryptocurrencies may have some contributions to make to increase the safety of self-driving cars. The technology behind driverless cars largely depends on big data which must be collected, analyzed and utilized in a split second and with high precision.

Blockchain, on the other hand, is more about ensuring data transparency and accuracy while protecting it from manipulation. According to a report by the MIT Technology Review, malicious cyber attacks are a significant challenge to the adoption of the autonomous car technology. While advancement in AI and Machine Learning are likely to solve the issue of collisions that occur due to a technical error, they may not be able to resolve the technology’s vulnerability to hacking.

Imagine what would happen if terrorist hackers accessed the databases of some self-driving cars in a crowded street or on a high-speed highway? The aftermath would be catastrophic especially when the cars are modified to be controlled by a centralized body.

Blockchain introduces the concept of a transparent and decentralized ledger where data can be verified and stored securely. This technology could help the driverless cars to verify the accuracy of the data when they collect it from the environment, meaning that the room for error would be very minimal.

Also, the storage of the data in a blockchain system guarantees safety from hackers given the immutable nature of the technology. Even though it is theoretically possible to hack blockchain, the level of computing power to hack all computers on a blockchain is nearly impossible. Similarly, with a blockchain powered self-driving car, there would be no downtimes in network connectivity. In a centralized system like the one used by Uber, there is a likelihood of a system failure triggered by connectivity issues. This means that there is a high chance of accidents occurring during a network breakdown.

The application of blockchain in the driverless car technology will not only ensure safety from crashes but is also guarantees to users that their personal data is safe. In the traditional model, hackers can easily access users’ data such as their names, addresses and payment details and use it against them.

In a driverless taxi powered by blockchain, user information including their names and specific pick up and drop off points are stored in a distributed and highly secured ledger making it impossible for hackers to access.

Apart from ensuring safety, the technology would improve the way taxis charge clients and keep track of their accounts. The smart contracts technology has the power to make the payment process smooth by ensuring that each party maintains their part of the bargain and in the event of a dispute, an amicable solution is reached without involving third parties. Taxi owners would also find it easier to track and securely store their financial records.

As the driverless car technology continues to advance, there are a lot of areas in blockchain to be explored. Maybe in a few years to come, a solution that perfectly combines AI, Machine Learning and blockchain to perfect the driver-less car technology will be available.


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