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| Content Provider | IET Digital Library |
|---|---|
| Author | Gao, Hongbo Yu, Huilong Xie, Guotao Ma, Haitong Xu, Youchun Li, Deyi |
| Abstract | Intellectualisation is one of the three reforming technologies in automotive industry, which is now changing the mobility mode and human society. High safety and intelligence are the pre-requisites for putting self-driving vehicles into markets. This study presents the hardware and software architecture for intelligent vehicles, as well as their road verification in typical traffic scenarios. The hardware system includes environmental sensors, computing platforms, vehicle actuators, and vehicle platforms, which is able to provide redundant protection against the main controller failure. The software system includes environmental perception module, scene cognition module, decision and control module, human–computer interaction module and public service support module. To evaluate the performance of the developed architecture, the road tests of automated driving system were carried out in two typical traffic scenarios, including: (i) closed road test in Yuanboyuan region; (ii) open road test on Beijing-Tianjin highway. The real road test shows that the designed hardware and software systems for intelligent vehicles have desirable robustness, which can realise accurate and reliable environment perception, decision-making and motion control. |
| Starting Page | 960 |
| Ending Page | 966 |
| Page Count | 7 |
| ISSN | 1751956X |
| Volume Number | 13 |
| e-ISSN | 17519578 |
| Issue Number | Issue 6, Jun (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/13/6 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5351 |
| Journal | IET Intelligent Transport Systems |
| Publisher Date | 2018-12-13 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Automated Driving System Computing Platforms Control Engineering Computing Decision And Control Module Decision Making Decision-making Driver Information System Environmental Perception Module Environmental Sonsor Ergonomic Aspects of Computing Hardware Architecture Hardware System Human Computer Interaction Human–computer Interaction Module Intelligent Transport System Intelligent Vehicle Motion Control Public Service Support Module Road Safety Road Traffic Road Traffic System Control Road Vehicle Road Verification Scene Cognition Module Software Architecture Software Engineering Software System Spatial Variables Control Traffic Engineering Computing Typical Traffic Scenario Vehicle Actuators Vehicle Platform |
| Content Type | Text |
| Resource Type | Article |
| Subject | Law Transportation Environmental Science Mechanical Engineering |
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