The existing connected-vehicle deployments obtain the real-time status of connected
vehicles, but without knowing the unconnected traffic. It is urgent to find an approach to …

Road landmark inventory is becoming an important data product for the maintenance of
transport infrastructures. Several commercial sensors are available which include …

Environment perception is a critical function used by driving automation systems, or self-
driving cars, for detecting objects such as obstacles, lane markings, and road signs. In order …

In this paper we present a state-of-the-art review about road lane landmark extraction.
Automatic lane landmark extraction has been studied during the last decade for different …

Vision-based motion segmentation provides key information for dynamic scene
understanding and decision making in autonomous navigation. In this paper, we propose an …

There are unrestricted conditions on the driver's face inside the vehicle, such as changes in
lighting, partial occlusion and various changes in the driver's condition. In this paper, we …

Fast growing technology adds many feature-oriented applications to the society to make the
city smarter. Autonomous vehicles are one among them. Traffic, proactive management of …

In this thesis, we investigate the impact of using visual landmarks with spatial knowledge to
improve the performance of vision-based localisation. We separate our work into two parts …