Recently, Prof. CHEN Xiqun, Vice Dean of ZJUI and Director of the Institute of Intelligent Transportation Systems, Zhejiang University, published a research paper titled "Understanding common human driving semantics for autonomous vehicles" in the Cell Press Journal Patterns. By analyzing and analogizing the neural mechanisms behind human driving behavior, a semantic expression model of common human driving behavior was established, which provides bionics basis and method support for the design of human-like autonomous driving system.

Research Highlights

•Reveal human auditory cortex activation during driving

•Discover the hierarchical structure of human driving understanding

•Propose a neural-informed semantics-driven driving understanding model

•Address long-term contextual dependency of driving behaviors

Article title：Understanding common human driving semantics for autonomous vehicles

Article link：https://www.cell.com/patterns/fulltext/S2666-3899(23)00070-3

DOI：https://doi.org/10.1016/j.patter.2023.100730