Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

Response measurement of various functionality states of machines is an inevitable part of
smooth production. An effectively efficient measurement and control system of the machinery …

Automated valet parking (AVP) has attracted much attention as the entry point to
autonomous driving. In an indoor environment, high‐precision positioning systems are …

Ride comfort plays an important role in determining the public acceptance of autonomous
vehicles (AVs). Many factors, such as road profile, driving speed, and suspension system …

Rough pavements cause ride discomfort and energy inefficiency for road vehicles. Existing
methods to address these problems are time-consuming and not adaptive to changing …

With the increasing deployment of roadside sensors, vehicle trajectories can be collected for
driving behavior analysis and vehicle-highway automation systems. However, due to …

Potential fields have been integrated with local path-planning algorithms for autonomous
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …

The chimp optimization algorithm (ChOA) is a hunting-based model and can be utilized as a
set of optimization rules to tackle optimization problems. Although ChOA has shown …

Electric cars (EVs) are getting more and more popular across the globe. While comparing
traditional utility grid-based EV charging, photovoltaic (PV) powered EV charging may …

Trajectory planning is essential for self-driving vehicles and has stringent requirements for
accuracy and efficiency. The existing trajectory planning methods have limitations in the …