Despite modern vehicles having the necessary advanced driver assistance systems (ADAS)
for autonomous operation, current implementations rely solely on sensor information from …

Connected, cooperative autonomous driving and mobility promises increased comfort and
safety for public transportation and logistics in urban and suburban regions. Stationary …

In this demo, we showcase an integrated hardware-software evaluation platform for
collaborative autonomous driving. The vehicle control and motion dynamics are simulated …

Millimeter-wave (mmWave) communication is a key technology that enables autonomous
vehicles and roadside units to collaborate in environment perception, thereby improving …

Cybertwin is the intelligent data analytics agent of the future that interacts with the Internet of
Vehicles using 6G to make intelligent decisions for automotive application reliability …

A number of advanced driver assistance systems (ADAS) are currently being released on
the market, providing safety functions to the drivers such as collision avoidance, adaptive …

The technical exploration of safe automated driving has evolved from single vehicle
intelligence to vehicular networking. Therefore, to a certain extent, the safety requirements …

With low-cost energy consumption, the reconfigurable intelligent surface (RIS) technique is a
potential solution to the real-time data processing for intelligent transportation systems …

Cooperative perception significantly enhances the perception performance of connected
autonomous vehicles. Instead of purely relying on local sensors with limited range, it …

As driving becomes more automated, vehicles are being equipped with more sensors
generating even higher data rates. Radars are used for object detection, visual cameras as …