Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction

• Published in: 2021 IEEE Intelligent Vehicles Symposium (IV) pp. 473 - 480
• Main Authors: Zhao, Jinxin, Fang, Jin, Ye, Zhixian, Zhang, Liangjun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.07.2021
• Subjects: Benchmark testing; Clustering algorithms; Data models; Deep learning; Feature extraction; Measurement; Vehicle driving

The clustering of autonomous driving scenario data can substantially benefit the autonomous driving validation and simulation systems by improving the simulation tests' completeness and fidelity. This article proposes a comprehensive data clustering framework for a large set of vehicle driving...