Federated learning (FL) is a distributed machine learning approach that can achieve the
purpose of collaborative learning from a large amount of data that belong to different parties …

Connected and fully automated vehicles are expected to revolutionize our mobility in the
near future on a global scale, by significantly improving road safety, traffic efficiency, and …

Cooperative perception, or collective perception (CP), is an emerging and promising
technology for intelligent transportation systems (ITS). It enables an ITS station (ITS-S) to …

Connected and Automated Vehicles (CAVs) utilize a variety of onboard sensors to sense
their surrounding environment. CAVs can improve their perception capabilities if vehicles …

The vehicular Internet of Things (IoT) comprises enabling technologies for a large number of
important applications including collaborative autonomous driving and advanced …

Vehicle-to-everything (V2X) communication is seen as one of the main enabling
technologies for automated vehicles. Collective perception is especially promising, as it …

Automated vehicles make use of multiple sensors to detect their surroundings. Sensors have
significantly improved over the years but still face challenges due to the presence of …

Sensor data sharing enables vehicles to exchange locally perceived sensor data among
each other and with the roadside infrastructure to increase their environmental awareness. It …

This paper presents and evaluates a unified cooperative perception framework that employs
vehicle-to-vehicle (V2V) connectivity. At the core of the framework is a decentralized data …

Cooperative perception (aka Collective perception or cooperative sensing) will allow
Connected and Automated Vehicles (CAVs) to share information about detected objects …