The continuous advances in intelligent systems and cutting-edge technology have greatly
influenced the development of intelligent vehicles. Recently, integrating multiple sensors in …

To understand driving environments effectively, it is important to achieve accurate detection
and classification of objects detected by sensor-based intelligent vehicle systems, which are …

Object detection systems are vital technology used in Autonomous Vehicle (AV) for
operating safely. This paper focuses on reviewing the existing literature related to object …

Complete autonomous systems such as self-driving cars to ensure the high reliability and
safety of humans need the most efficient combination of four-dimensional (4D) detection …

Object perception plays a fundamental role in Cooperative Driving Automation (CDA) which
is regarded as a revolutionary promoter for next-generation transportation systems …

With the rapid development of society and the economy, autonomous driving techniques are
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …

This paper presents an automated driving system (ADS) data acquisition and processing
platform for vehicle trajectory extraction, reconstruction, and evaluation based on connected …

Reliable autonomous urban driving hinges upon the vehicle's ability to perceive and
navigate the environment. This research paper emphasizes designing and implementing a …

In a conventional automobile, the vehicle is controlled by a human brain. The eyes, which
gather visual data from surrounding traffic, are the most important human sense. This visual …

This paper presents a real-time approach to detect and localize surrounding vehicles in
urban driving scenes. We propose a multimodal fusion framework that processes both 3D …