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Autonomous Vehicle Simulation Using Open Source Software Carla
| Content Provider | Semantic Scholar |
|---|---|
| Author | Barbour, Emily McFall, Kevin Stanley |
| Copyright Year | 2020 |
| Abstract | The topic of autonomous vehicles has grown tremendously in the past 10 years. Research into different methods of computer vision, path planning algorithms, and controls theories have been an area of great interest for the automotive industry. While many of these systems can be theorized off data collected in a drivercontrolled environment, the testing of their wholistic application remains a challenge for researchers to properly complete in a realistic and safe environment. Thus, computer simulations have been developed to help imitate real environments in such a way that rapid prototyping, training, and validating can be done in a safe, cost effective, and time saving manner, In this paper, one like simulation, named CARLA, is explored and investigated for its potential to test implementations of algorithms and controls theories in replicable, controlled fashion. Furthermore, the communication framework ROS will be utilized, and the official ros-bridge investigated. Such a system will allow an entire control stack to be simulated, the inner working of which will have no way to distinguish between simulation and real environments, allowing for most of the design to be re-utilized in a real-world model. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://facultyweb.kennesaw.edu/kmcfall/2019ECTC1.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
