The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …

The autonomous connected ambulance (ACA) has been an unprecedented necessity in the
demand–supply management sector of the healthcare sector. However, the traditional …

Recent developments in sensor technologies such as Global Navigation Satellite Systems
(GNSS), Inertial Measurement Unit (IMU), Light Detection and Ranging (LiDAR), radar, and …

Understanding the surrounding scenes is one of the fundamental tasks in intelligent
transportation systems (ITS), especially in unpredictable driving scenes or in develo** …

In recent years, research concerning autonomous driving has gained momentum to
enhance road safety and traffic efficiency. Relevant concepts are being applied to the fields …

Objectives The development of high definition (HD) map is of paramount importance in
advancing the digital infrastructure of transportation and serves as a fundamental …

Lane information plays an important role in high-definition (HD) maps because it provides
invaluable road information for autonomous vehicles. The most widely used lane extraction …

Autonomous driving is experiencing rapid development. A lane-level map is essential for
autonomous driving, and a lane-level road network is a fundamental part of a lane-level …

For automobiles, the innovation of autopilot, connected communication, and new energy has
been treated as the trend. This article proposed a deep reinforcement learning (DRL)-based …