… environments is the focus of this paper. We start with a quick overview of current autonomous
driving … is the analysis of real traffic data collected by various traffic sensors in the urban …

… Furthermore, strengthening inter- and multimodality as well as improving traffic safety and
… On the other hand, only about 20% of the interviewees considered the improvement of traffic …

… of driving automatization, the prospective effects of these new technologies on the environment
and traffic … scenarios of deploying the autonomous vehicles. We have found that the self-…

… and efficient autonomous driving in complex traffic environments. … the impact of traffic
environment on prediction algorithms. The … The framework analyzes the environmental effect on …

… been applied to the training of autonomous driving. Autonomous driving has the potential
to … train an autonomous driving model in a virtual environment and then use it in the real-world …

… for test environment capable to simulate realistic traffic around the autonomous test vehicle.
… microscopic traffic simulation, ie, the method enables safe vehicle testing. The proposed test …

… with cyclists’ expectations of social coordination in traffic. The paper highlights that … traffic
and successful deployment of autonomous vehicles also in less structured traffic environments…

… An autonomous vehicle should drive considering the overall situation, and many kinds of …
for autonomous driving in unpredictable real environments. In order to search for traffic …

… TRAFFIC LIGHT DETECTION Detection of traffic light state is essential for autonomous
driving in urban environments… We have developed a passive camera-based pipeline for traffic …

… The real traffic environment is too complicated for current autonomous driving computing
systems to … In this article, we present state-of-theart computing systems for autonomous driving, …