This paper introduces an adaptive beyond-the-limit controller, aimed at striking a balance
between high-performance maneuvers, such as transient drift, and ensuring safety in …

This study proposes a bi-level framework for real-time crash risk forecasting (RTCF) for
signalised intersections, leveraging the temporal dependency among crash risks of …

The escalation in vehicular traffic, in conjunction with global population growth, has
precipitated heightened road congestion, augmented air pollution, and a rise in vehicular …

In contemporary autonomous driving systems relying on sensor fusion, traditional digital
processors encounter challenges associated with analogue-to-digital conversion and …

Since the field of autonomous vehicles is develo** quickly, it is becoming increasingly
crucial for them to safely and effectively navigate their surroundings to avoid collisions. The …

Radars in the W-band are being integrated into car bumpers for functionalities such as
adaptive cruise control, collision avoidance, or lane-kee**. These Advanced Driving …

Along with the advancements in artificial intelligence technologies, image-to-point-cloud
registration (I2P) techniques have made significant strides. Nevertheless, the dimensional …

This conference paper discusses the influence of computer vision in self-driving car
implementation. The automotive industry has experienced a significant transformation by …

The research was oriented toward creating a cutting-edge application that uses sentiment
analysis and geolocation to improve safety in shared vehicle services. The objectives …

In the laboratory analysis of geological data, a number of problems arise due to the
insufficient accuracy of the results. For example, different laboratories may provide different …