The increasing importance of mineral resources in contemporary society is becoming more
prominent, playing an indispensable and crucial role in the global economy. These …

Autonomous driving technology has achieved significant breakthroughs in open scenarios,
enabling the deployment of excellent positioning, detection, and navigation algorithms on …

The integration of language descriptions or prompts with Large Language Models (LLMs)
into visual tasks is currently a focal point in the advancement of autonomous driving. This …

The safety of different categories of road users comprising motorized vehicles and
vulnerable road users (VRUs) such as pedestrians and cyclists is one of the priorities of …

Although deep reinforcement learning (DRL) methods are promising for making behavioral
decisions in autonomous vehicles (AVs), their low training efficiency and difficulty to adapt to …

This paper explores the domain of intelligent transportation systems, specifically focusing on
roundabouts as potential solutions in the context of smart mobility. Roundabouts offer a safer …

Abstract Autonomous Surface Vehicles (ASVs) are bound to play a fundamental role in the
maintenance of offshore wind farms. Robust navigation for inspection vehicles should take …

User adoption and technological advances are crucial for the widespread implementation of
Autonomous Vehicles (AVs) in the existing transportation system. This study focuses on user …

Safety and security are important when it comes to the generation of autonomous vehicles.
Therefore when there is any drawback in the normal autonomous vehicle then it will not gain …