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凯捷:2023辅助驾驶系统白皮书(中译版)(14页).pdf

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1、ASSISTED DRIVINGThe engineering behind the new automotive business modelINTRODUCTIONDriving automation takes many forms:warning functions,active safety functions,and conditional driving automation through to fully autonomous vehicles.A third of new cars already have some form of assisted driving.SAE

2、 International(formerly the Society of Automotive Engineers)classify ADAS(Advanced Driver Assistance Systems)in six levels,relating to both the feature capability and what the driver needs to do.These levels represent the progression that automotive companies are working through.Level 0 means no aut

3、omated vehicle control.Level 1 and 2 functions such as Adaptative Cruise Control or Lane Keeping Assist assist the driver but require continuous“Eyes On”and“Mind On”.A new category,L2+,was introduced in 2018 which combines sensors and precision map data to support lane keeping and changing in more c

4、omplex scenarios such as poor road markings and roundabouts.Level 3 will let the vehicle make some decisions such as changing lanes but drivers must be ready to step in.Level 4 involves autonomous driving under limited conditions such as a robo-taxi in a specified area designed to accommodate it.Lev

5、el 5 is fully autonomous.Progressing through these classifications involves mastering the interaction between the driver,the vehicle and the operational domain of the ADAS feature.These systems will be hard to develop,but once cracked they will become key differentiators for customers.Once developed

6、,they represent high-margin/low-overhead offers which can be sold or leased virtually.Tesla already has a significant revenue stream from selling assisted driving add-ons post-sale.But getting there presents technical,organizational and regulatory challenges.The technologies required to develop Assi

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本文主要讨论了自动驾驶辅助系统(ADAS)的发展及其对汽车行业的影响。文章首先介绍了SAE国际对ADAS的六级分类,从无自动化控制到完全自动化。然后,文章详细讨论了开发ADAS所需的技术、组织、监管挑战,以及如何通过生态系统、数据、软件和安全来创造客户期望的体验。文章指出,ADAS的发展需要大量的数据收集和处理能力,以及新的工程和IT合作伙伴关系。此外,文章还讨论了如何通过严格的测试和验证来建立用户对ADAS的信任,以及ADAS对可持续性的影响。总的来说,文章强调了ADAS的发展将给汽车行业带来重大变革,需要汽车制造商在技术、组织和文化方面进行重大调整。
自动驾驶系统如何处理复杂路况? 自动驾驶技术如何提高驾驶安全性? 自动驾驶系统对汽车行业有何影响?
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