V2X 통신과 Camera Sensor를 통한 주변차량 차선변경 예측 알고리즘

Abstract

PreScan simulator is a simulation platform used in the automotive industry for the development of ADAS based on sensor technologies such as radar, rider, camera, and GPS. PreScan is also used to design and evaluate V2V and V2I communications applications and autonomous driving applications. In this study, PreScan simulator is used to collect information predicting lane change of vehicle through camera sensor and V2X communication data. After that, the data collected using Pycharm will be trained to find out how it correlates with the factors necessary for lane change, and the predicted lane change probability is compared and analyzed with the accuracy of prediction of SVM(Support Vector Machine) and RF techniques.