Abstract The emergence of Cellular Vehicle-to-Everything communication (C-V2X) has
brought significant advancements in the field of Intelligent Transportation Systems. This …

This paper emphasizes the benefits of using composite materials in manufacturing
automobile components instead of conventional metal. Some unknown and unorganized …

To achieve optimal robot behavior in dynamic scenarios we need to consider complex
dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to …

Autonomous driving is the future of the automotive industry across the globe. Many
challenges must be resolved in designing and developing successful Autonomous Driving …

With the applications of deep learning in safety-critical domains such as autonomous driving
systems gaining ground, it demands rigorous verification to guarantee the safety and …

The capacity to extract information and comprehend an unseen environment is critical for
mobile robots to navigate. Few surveys has mentioned the combinatorial-non-optimality …

A novel approach for vehicle tracking using a hybrid adaptive Kalman filter is proposed. The
filter utilizes recurrent neural networks to learn the vehicle's geometrical and kinematic …

Conveying supporting information by an in-vehicle human–machine interface (HMI)
overtaking assistance system represents a promising approach to facilitate safe overtaking …

Road traffic accident (RTA) is a critical global public health concern, particularly in
developing countries. Analyzing past fatalities and predicting future trends is vital for the …

A new fuzzy method for creating a depth map is presented in the article. It is based on a
combination of Canny detector with a three-level fuzzy system and is designed to improve …