In autonomous driving (AD) tasks, data-driven deep reinforcement learning (DRL) outperforms rule-based methods in terms of continuous decision-making and adaptability. However, traditional DRL relies ...

This study has proposed a detection framework, and implemented it using quantum machine learning (QML) approach by applying Support Vector Machine (SVM) enhanced with quantum annealing solvers.