Fidelity Evaluation of Virtual Traffic Based on Anomalous Trajectory Detection

Chaoneng Li,Qianwen Chao,Guanwen Feng,Qiongyan Wang,Pengfei Liu,Yunan Li,Qiguang Miao,Chaoneng Li,Qianwen Chao,Guanwen Feng,Qiongyan Wang,Pengfei Liu,Yunan Li,Qiguang Miao

Measuring the fidelity of synthesized virtual traffic has become an important and fundamental concern for evaluating the performance of different traffic simulation techniques and applications of autonomous vehicle testing. In this work, we propose a novel method to evaluate the fidelity of any trajectory data from the perspective of anomalous trajectory detection. First, given the trajectory data...