A fundamental challenge in autonomous vehicles is adjusting the steering angle at different
road conditions. Recent state-of-the-art solutions addressing this challenge include deep …

Self-driving cars have become inevitable to be present in a near future. A big number of
large companies, startups and research groups have been working for years to fulfil the …

In this paper we consider a traffic light detector constructed on the basis of a fully
convolutional neural network for segmenting traffic lights on image and subsequent …

Nowadays the number of vehicles on the road is increasing incrementally. As a result the
number of road accidents is also increasing. The main causes of these accidents are due to …

Connected and Autonomous Vehicles (CAVs) are typically equipped with multiple advanced
on-board sensors generating a massive amount of data. Utilizing and processing such data …

Self-driving technology is advancing rapidly---albeit with significant challenges and
limitations. This progress is largely due to recent developments in deep learning algorithms …

Steering a wheeled mobile robot through a variety of environments is a complex task. To
achieve this, many researchers have tried to convert front-facing camera data stream to the …

Autonomous Vehicles (AVs) face the challenge of recognising active traffic lights under
harsh environmental conditions. Standard cameras and computer vision algorithms also …

Autonomous vehicles (AVs) are vehicles that either partially or fully carry out the task of
driving themselves. They use systems and technologies such as Advanced Driver …