… The development of autonomous vehicles relies on the data collected for … autonomous
intelligent vehicles are included. For example, a sudden obstacle while the autonomous vehicle …

… , the DARPA allowed 53 teams to demonstrate how they navigate simple urban driving
scenes. After these demonstrations, only 36 teams were invited to attend the National …

… autonomous driving labs aim at providing realistic traffic situations for training intelligent
vehicles, … The authors of [26] propose an integrated urban traffic management architecture with …

… transport vehicles, and the related developments on the subject. Our goal is to create automatic
intelligent vehicle systems, within the concept of intelligent infrastructures and smart cities…

… Abstract—Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at
a rapid pace due to the convenience, safety, and economic benefits. Although a number of …

… The urban driving environment challenged autonomous driving with some … and traffic
applications of intelligent vehicles, which are catalyzing the interest of the automotive industry, car …

… in intelligent vehicles. The first is the concept of trust. When driving past another car on the
road, a car may … directions (as in urban driving), and we will treat these two cases as separate. …

… , but there are many issues with the clear recognition of objects for level 2 and above, such
as fog, snow, road work, complex city driving and other obstacles that can prevent the vehicle …

… Autonomous vehicles (AVs) being an essential component of the future smart city traffic system
is … Further cost reduction can be achieved with intelligent car-pooling. In addition, AVs can …

… Abstract—A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is …
Zhu, “Real-time trajectory planning for autonomous urban driving: Framework, algorithms, …