The rapid progress of autonomous driving (AD) has triggered a surge in demand for safer
and more efficient autonomous vehicles, owing to the intricacy of modern urban …

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

Accurate estimation and prediction of the lithium-ion battery state of health (SOH) play a vital
role in improving the reliability and safety of battery operations. However, the complexity of …

Accurate state-of-charge (SOC) estimation of lithium-ion batteries (LIBs) in low temperatures
is significant to maximize their performance and application. An improved K-means …

State of charge (SOC) and state of energy (SOE) are the key factors that reflect the safe and
range driving of new energy vehicles. This paper proposes an optimized convolutional …

Accurately estimating the State of Charge (SOC) in Electric Vehicles (EVs) is critical for
battery management and operational efficiency. This paper presents a Deep Learning (DL) …

Negative emotions have been identified as significant factors influencing driver behavior,
easily leading to extremely serious traffic accidents. Hence, there is a pressing need to …

With the rapid adoption of Internet of Things (IoT) and artificial intelligence (AI), lithium-ion
battery state-of-health (SOH) estimation plays an important role in guaranteeing the secure …

The diagnosis of an internal short circuit (ISC) fault is an integral part of thermal runaway
warning for lithium-ion batteries. A higher level of accuracy in ISC fault diagnosis needs an …

In real scenarios, accurate and real‐time detection of traffic signs is of great significance to
the automatic driving system. To meet the requirements of detection accuracy and speed, a …