Abstract
Vehicle and traffic simulation is a common practice for testing and evaluating advanced driver-assistance systems (ADAS) and autonomous driving (AD). As a result, the literature mentions numerous simulators capable of simulating ADAS/AD implementations. In this study, we investigate previous surveys that cover multiple scenarios and initiate a systematic review targeting simulators for testing ADAS/AD. Our results show that the literature mentions, in total, 181 simulators capable of evaluating one or more ADAS/AD implementations. Furthermore, according to previous surveys and reviews, the most popular simulators are CARLA, Airsim, and SUMO. Finally, our results uncover that every five years, the number of novel simulators added to the literature grows at least quadratically, showing that further review is necessary to address the differences between these simulators and understand the simulator landscape from an ADAS/AD testing perspective.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023 |
| Publisher | IEEE |
| Pages | 112-122 |
| Number of pages | 11 |
| ISBN (Electronic) | 9798350324020 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 4th IEEE/ACM International Conference on Automation of Software Test: AST 2023 - Melbourne, Australia Duration: 15 May 2023 → 16 May 2023 |
Conference
| Conference | 4th IEEE/ACM International Conference on Automation of Software Test |
|---|---|
| Abbreviated title | AST 2023 |
| Country/Territory | Australia |
| City | Melbourne |
| Period | 15/05/23 → 16/05/23 |
Keywords
- adas
- automated driving
- simulation
- systematic review
- testing
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Software
- Safety, Risk, Reliability and Quality
- Control and Optimization