对于配备自动驾驶系统的车辆的开发和扩散,安全物质显然是中心的。T.he results of the research “Global Automotive Consumer study” by Deloitte have highlighted, for instance, that European consumers feel safer on an autonomous-driving car produced by manufacturers of the automotive industry than in cars proposed by hi-tech companies, thus revealing people’s trend to perceive brands already known and “tested” as more reliable. The safety of autonomous driving systems is a topic to which TÜV SÜD (independent body that operates in certification, inspection, testing, tests and training) has dedicated the “Driver Assistance Systems Conference”, held in Munich, in Germany, with the participation of over 200 engineers. Among the themes treated – as underlined Pietro Vergani, Business Unit Manager Consumer Product of TÜV Italia – they debated also the simulation issue, which will play a fundamental role in the future test and homologation activities. «Using these methods – he stated – test structures can assess daily up to 50 million scenarios: an unfeasible enterprise with physical tests on vehicles». Another subject discussed in Munich concerned the electronics of cars and these systems’ capability of imitating human behaviour.

自动驾驶

参加会议的工程师提到了“神经网络”,即,一种人工神经系统,允许机器或计算机自主学习,符合人工智能视觉。此外,在会议上,他们介绍了Imagine项目,该项目也开发了能够向自动驾驶引入支持行动的先进驾驶辅助系统。关于替代平台,参加会议的汽车公司的代表强调,“非独家”的公司将来会变得更加普遍,他们将由各种汽车公司处置,这将减少成本,同时制作可提供越来越多的车辆。最后,在Pietro Vergani的看法中,在汽车同源方法中也必须对应于技术创新。«我们已经分析了自主驾驶汽车的彻底新的可能性驾驶方法 - 解释了Vergani - 我们推断了基于虚拟车辆的测试模拟的虚拟同源方法已经是现实的,并且即使没有广泛的立法,也在立法转移对于专用批准范围,例如,例如在框架或欠架杆上模拟机械应力。这些方法和相对技术验证急剧上升,他们将成为下一步车辆的控制基础»。

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