Name
Title | ||
|---|---|---|
An Integrated Decision-Making Framework for Highway Autonomous Driving Using Combined Learning and Rule-Based Algorithm |
Abstract | ||
|---|---|---|
In order to solve the manual labelling, long-tail effect and driving conservatism of the existing decision-making algorithm. This paper proposed an integrated decision-making framework (IDF) for highway autonomous vehicles. Firstly, states of the highway traffic are extracted by the velocity, time headway (TH) and the probabilistic lane distribution of the surrounding vehicles. With the extracted ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TVT.2022.3150343 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Decision making,Autonomous vehicles,Roads,Windows,Trajectory,Training,Task analysis | Journal | 71 |
Issue | ISSN | Citations |
4 | 0018-9545 | 1 |
PageRank | References | Authors |
0.43 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Can Xu | 1 | 4 | 1.17 |
| Wanzhong Zhao | 2 | 24 | 7.95 |
| Jinqiang Liu | 3 | 1 | 0.77 |
| Chunyan Wang | 4 | 7 | 1.54 |
| Chen Lv | 5 | 132 | 25.25 |