Solution for Autonomous Vehicle Parking
| Autor: | Mario Vranjes, Denis Vajak, Marko Kupresak, Dusan Zivkov |
|---|---|
| Přispěvatelé: | Muštra, Mario, Vuković, Josip, Cihlar-Zovko, Branka |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Random access memory
Autonomous parking ADAS Parking detection Parking classification CARLA simulator business.industry Computer science Real-time computing Automotive industry Process (computing) Advanced driver assistance systems Python (programming language) Frame rate Statistical classification Test case business computer computer.programming_language |
| Popis: | With the advancement of technology, there is a significant development in automotive industry, where the vehicle itself performs more and more driving functions. The number of Advanced Driver Assistance Systems (ADASs) has been rising significantly. In this paper, the solution for autonomous vehicle parking is proposed. Firstly, an algorithm that detects parking spaces (PSs) and classifies them only by processing frames received from the camera placed on the side of the ego vehicle was developed. Furthermore, an algorithm for performing the autonomous vehicle parking in different ways (forward/backward, left/right side of the road) at detected free PS is developed. The solution was developed using Python programing language and OpenCV library and tested in CARLA simulator. Test results show that the algorithm correctly detects and classifies PSs in 100% of test cases, whereas after that the success of the parking process itself was 88%. The algorithm is capable of processing 10 frames per second, thus allowing real-time operation for typical vehicle speed during parking process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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