For cooperative intelligent transport systems (C-ITS), vehicle-to-everything (V2X)
communication is utilized to allow autonomous vehicles to share critical information with …

Object detection (OD) is crucial to autonomous driving. On the other hand, unknown objects,
which have not been seen in training sample set, are one of the reasons that hinder …

During the development of state-of-the-art driver assistance systems and highly autonomous
driving functions, there is a demand for reliable research vehicle platforms that can be used …

While current research and development of autonomous driving primarily focuses on
developing new features and algorithms, the transfer from isolated software components into …

Reliable object detection using cameras plays a crucial role in enabling autonomous
vehicles to perceive their surroundings. However, existing camera-based object detection …

Abstract Connected Autonomous Vehicles (CAVs) are key components of the Intelligent
Transportation System (ITS), and all-terrain Autonomous Ground Vehicles (AGVs) are …

Autonomous Ground Vehicles (AGVs) are essential tools for a wide range of applications
stemming from their ability to operate in hazardous environments with minimal human …

Abstract Deep Reinforcement Learning (DRL) enables cognitive Autonomous Ground
Vehicle (AGV) navigation utilizing raw sensor data without a-priori maps or GPS, which is a …

In recent years, large language models (LLM) have received a lot of attention for their ability
to understand, generate and process natural language. By fine-tuning the models on …

Conflict severity is the outcome of complex interactions between roadway and
environmental characteristics, and vehicle motion. Understanding how and to what extent a …