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The Visual Representation and Acquisition of Driving Knowledge for Autonomous Vehicle
| Content Provider | Scilit |
|---|---|
| Author | Zhang, Zhaoxia Jiang, Qing Li, Ping Song, Liangtu Wang, Rujing Yu, Biao Mei, Tao |
| Copyright Year | 2017 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering In this paper, the driving knowledge base of autonomous vehicle is designed. Based on the driving knowledge modeling system, the driving knowledge of autonomous vehicle is visually acquired, managed, stored, and maintenanced, which has vital significance for creating the development platform of intelligent decision-making systems of automatic driving expert systems for autonomous vehicle. |
| Related Links | http://iopscience.iop.org/article/10.1088/1757-899X/235/1/012011/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/235/1/012011 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 235 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2017-09-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Cybernetical Science Autonomous Vehicle Decision Making Driving Knowledge Expert Systems Visual Representation Knowledge for Autonomous |
| Content Type | Text |
| Resource Type | Article |
