Designing Autonomous Driving Scenarios with the CARLA Simulator 


Vol. 51,  No. 2, pp. 400-409, Feb.  2026
10.7840/kics.2026.51.2.400


PDF Full-Text
  Abstract

There is an increasing demand for autonomous driving simulators to verify the safety of autonomous vehicles using artificial intelligence technology. It is important to use simulators to ensure safe driving in various scenarios, as it is difficult to recreate various road conditions, climate changes and accident scenarios in real life. In this paper, we designed various autonomous driving scenarios using the CARLA simulator and compared the features, advantages and disadvantages of the vehicle controllers and waypoints it provides. This study focuses on visually presenting specific situations assuming V2V communication and proposing implementation methods, and does not address the performance evaluation of actual autonomous driving algorithms. Future research should focus on creating autonomous driving scenarios that are as realistic as possible using artificial intelligence technologies and V2V communication.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

S. W. Jang, J. Chae, J. Choi, Y. Hong, "Designing Autonomous Driving Scenarios with the CARLA Simulator," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 2, pp. 400-409, 2026. DOI: 10.7840/kics.2026.51.2.400.

[ACM Style]

Shin Won Jang, Jisuk Chae, JeongDan Choi, and Yong-Geun Hong. 2026. Designing Autonomous Driving Scenarios with the CARLA Simulator. The Journal of Korean Institute of Communications and Information Sciences, 51, 2, (2026), 400-409. DOI: 10.7840/kics.2026.51.2.400.

[KICS Style]

Shin Won Jang, Jisuk Chae, JeongDan Choi, Yong-Geun Hong, "Designing Autonomous Driving Scenarios with the CARLA Simulator," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 2, pp. 400-409, 2. 2026. (https://doi.org/10.7840/kics.2026.51.2.400)
Vol. 51, No. 2 Index