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如何管理AI与汽车安全系统的整合

   日期:2018-12-08 11:04     来源:洞云书屋    
核心提示:(注:本文是译文,Original text from www.link-motion.com )Part of the strength of AI lies in acknowledging that it may p
(注:本文是译文,Original text from www.link-motion.com )

Part of the strength of AI lies in acknowledging that it may provide unexpected results sometimes and this is accepted by the creators and users of the applications. This is orthogonal to traditional safety critical systems development which starts fully deterministic control of the system to be able to verify the system behavior in every possible situation.
AI的一部分力量在于承认它有时会提供意想不到的结果,这被应用程序的创建者和用户所接受。这与传统的安全关键系统开发是正交的,它开始对系统进行完全确定性控制,以便能够在任何可能的情况下验证系统行为。

There are a couple of options in how to manage the integration going forward:
如何管理未来的整合有两种选择:
It is possible to build such deterministic behavior into the AI processor, like Nvidia has done.
An other approach would be to add a deterministic layer in-between that would ensure the safety of the vehicle.
AI could be also be completely separated from such safety critical systems
有可能像NVIDIA那样在AI处理器中建立这样的确定性行为。
另一种方法是在两者之间增加一个确定层,以确保车辆的安全。
AI也可以完全脱离这样的安全关键系统

Building such critical software components is in any case a significantly challenging task that requires deep understanding of software engineering. However, separating the AI with a controlled layer could bring benefits and it might be the only viable approach to realize complex AI-based applications in cyber-physical systems.
构建这样的关键软件组件在任何情况下都是一项非常有挑战性的任务,需要对软件工程有深刻的理解。然而,将AI与控制层分离可以带来好处,并且它可能是实现复杂的基于AI的在网络物理系统中应用唯一可行的方法。

Applications for consumers appear to be mostly coming from an IT domain or vehicle domain, however, some examples of hybrids do exist. Applications from each direction have specific advantages. Applications are of a completely new kind, which combine real-world objects with cyber domain information management.
消费者的应用似乎主要来自IT领域或车辆领域,然而,混合动力的一些例子确实存在。来自各个方向的应用具有特定的优点。应用程序是一种全新的类型,它结合现实世界的对象与网络域信息管理。

IT domain-based services are big in information processing and agility of companies. Introduction of AI & blockchain have widened this gap as it allows more rapid development of applications while being deployed. IT domain companies are pushing towards expanding their domain into the vehicle engineering by pushing software platforms to be incorporated into vehicles. Examples: Android Auto, Apple Carplay, MS Azure Edge. Disadvantages of IT domain based services are centralized characteristics and exposure to complex real-life objects, such as cars. Integration of complex IoT devices is something that is only starting to take off in the industry.
IT域服务在信息处理和企业敏捷性方面具有很大的应用价值。AI和Basklink的引入拓宽了这一差距,因为它允许在部署时更快速地开发应用程序。IT领域的公司正在推动将其领域扩展到车辆工程中,通过将软件平台纳入车辆。例子:Android汽车,Apple Carplay,MS Azure Edge。IT域服务的缺点是集中特性和暴露于复杂的现实生活对象,例如汽车。复杂的物联网设备的集成在此行业中才刚刚起步。

Vehicle domain-based services’ strengths lie in the precise control of vehicles with an ability to access all information related to the vehicle. Development of embedded computing platforms has made it possible to implement more and more sophisticated applications within an embedded domain, that can control vehicles with better precision. Vehicle originating services are pushing towards cloud-based approaches by implementing their own services, which is often slow and lacking behind ’IT native’ companies. Technologies used in cloud oriented applications, such as AI and Block chain are being adopted to vehicle-based systems as well. Disadvantages of vehicle domain-based services are long development timeframes and transaction-type business / development models.
基于车辆领域的服务的优势在于对车辆的精确控制,其能够访问与车辆相关的所有信息。嵌入式计算平台的发展使得在嵌入式领域实现越来越复杂的应用成为可能,从而可以更好地控制车辆。车辆服务正在通过实施自己的服务向云计算的方向发展,这往往是缓慢的,而且落后于“本土”公司。在面向云的应用中使用的技术,如AI和块链,也被采用在基于车辆的系统中。基于车辆域的服务的缺点是较长的开发时间框架和交易类型的业务/开发模型。 
 
 
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