Driving Behavior Primitive Classification Using CNN-Based Fusion Models

• Published in: IEEE access Vol. 12; pp. 56344 - 56355
• Main Authors: Cui, Xiaotong, Li, Xiansheng, Zheng, Xuelian, Ren, Yuanyuan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Advanced driver assistance systems; Behavioral sciences; Brain modeling; Classification; CNN-based fusion model; Convolutional neural networks; Couplings; Data mining; Deep learning; Driving behavior analysis; driving behavior primitive classification; Feature extraction; Hidden Markov models; information fusion; Model accuracy; primitive feature matrix; Semantics; Statistical methods; Vehicle driving

Driving behavior primitives play a crucial role in semantic explanation of driving behaviors. Although much work has been done on exacting driving behavior primitives from naturalistic driving data, few studies was published on primitive classification. Driving behavior primitives are typically desc...