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The study of series–parallel plug-in hybrid electric vehicles (PHEVs) has become a research hotspot in new energy vehicles. The global optimal Pareto solutions of energy management strategy (EMS) play a crucial role in the development of PHEVs. This paper presents a multi-objective global...
Cooperative adaptive cruise control (CACC) is an important technology for improving road utilization and energy efficiency in the automotive industry. In CACC systems, connected vehicles can receive information from adjacent ones through communication networks. However, the networks are...
Estimating depth from images captured by camera sensors is crucial for the advancement of autonomous driving technologies and has gained significant attention in recent years. However, most previous methods rely on stacked pooling or stride convolution to extract high-level features, which can...
Safe and smooth interaction between other vehicles is one of the ultimate goals of driving automation. However, recent reports of demonstrative deployments of automated vehicles (AVs) indicate that AVs are still difficult to meet the expectation of other interacting drivers, which leads to...
The state-of-the-art deep neural networks are vulnerable to the attacks of adversarial examples with small-magnitude perturbations. In the field of deep-learning-based automated driving, such adversarial attack threats testify to the weakness of AI models. This limitation can lead to severe...
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