Name
Title | ||
|---|---|---|
The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of Intelligent Vehicles |
Abstract | ||
|---|---|---|
Offline training and testing are playing an essential role in design and evaluation of intelligent vehicle vision algorithms. Nevertheless, long-term inconvenience concerning traditional image datasets is that manually collecting and annotating datasets from real scenes lack testing tasks and diverse environmental conditions. For that virtual datasets can make up for these regrets. In this paper, we propose to construct artificial scenes for evaluating the visual intelligence of intelligent vehicles and generate a new virtual dataset called “ParallelEye-CS”. First of all, the actual track map data is used to build 3D scene model of Chinese Flagship Intelligent Vehicle Proving Center Area, Changshu. Then, the computer graphics and virtual reality technologies are utilized to simulate the virtual testing tasks according to the Chinese Intelligent Vehicles Future Challenge (IVFC) tasks. Furthermore, the Unity3D platform is used to generate accurate ground-truth labels and change environmental conditions. As a result, we present a viable implementation method for constructing artificial scenes for traffic vision research. The experimental results show that our method is able to generate photorealistic virtual datasets with diverse testing tasks. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IVS.2018.8500459 | 2018 IEEE Intelligent Vehicles Symposium (IV) |
Keywords | Field | DocType |
visual intelligence,intelligent vehicle vision algorithms,virtual dataset,3D scene model,Chinese Flagship Intelligent Vehicle Proving Center Area,virtual reality technologies,virtual testing tasks,Chinese Intelligent Vehicles Future Challenge tasks,ParallelEye-CS dataset,artificial scenes,computer graphics,track map data | Virtual reality,Task analysis,Computer science,Human–computer interaction,Solid modeling,Virtual test,Computer graphics,Vision algorithms | Conference |
ISSN | ISBN | Citations |
1931-0587 | 978-1-5386-4453-9 | 1 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuan Li | 1 | 124 | 27.25 |
| Yutong Wang | 2 | 11 | 2.19 |
| Kunfeng Wang | 3 | 434 | 26.42 |
| Lan Yan | 4 | 12 | 7.91 |
| Fei-Yue Wang | 5 | 5273 | 480.21 |