Hybrid traffic which involves both autonomous and human-driven vehicles would be the
norm of the autonomous vehicles' practice for a while. On the one hand, unlike autonomous …

The automotive industry has been enhancing autonomous driving systems utilizing the
computation and communication networks embedded in vehicles (eg, cellular networks and …

Cellular networking is evolving as a wireless technology to support a wide range of
applications in vehicular communication. Cellular technologies enable vehicles to …

The number of Autonomous Vehicles (AVs) coexisting with conventional human-driven
vehicles is expected to increase significantly in the coming years. This coexistence will last …

Many essential services for autonomous vehicles, eg, navigation on high-quality maps, are
designed based on the understanding of traffic conditions, eg, travel time/speed on road …

In distributed systems, when the users want to communicate with each other they provide
credentials during their communication to prove that it is legitimate. Therefore, credential …

There were more than 2 billion vehicles on the road by 2019 [4], and it is well expected that
this increasing trend will keep going in the next 20 years [1]. For example, in some largest …

In this thesis is presented an algorithmic architecture for systematic risk evaluation,
mitigationand management intended for autonomous transportation vehicles. The …

Dans cette these est présentée une architecture algorithmique pour l'évaluation, le
management et la minimisation du risque pour les véhicules de transport autonomes. Les …

Many current algorithms and approaches in autonomous driving attempt to solve the"
trajectory generation" or" trajectory following” problems: given a target behavior (eg stay in …