Automated driving and vehicle safety systems need object detection. It is important that
object detection be accurate overall and robust to weather and environmental conditions …

Advanced driver assistance systems (ADASs) are becoming increasingly common in
modern-day vehicles, as they not only improve safety and reduce accidents but also aid in …

Accurate and reliable lane detection is vital for the safe performance of lane‐kee**
assistance and lane departure warning systems. However, under certain challenging …

Lane detection plays a vital role in making the idea of the autonomous car a reality.
Traditional lane detection methods need extensive hand-crafted features and post …

3-D vehicle detection is a key perception technique in autonomous driving. In this article, a
novel 3-D vehicle detection framework that fuses camera images and Light Detection and …

The ability of artificial intelligence to drive toward an intended destination is a key
component of an autonomous vehicle. Different paradigms are now being employed to …

Autonomous Vehicles (AV's) have achieved more popularity in vehicular technology in
recent years. For the development of secure and safe driving, these AV's help to reduce the …

Deep learning has made tremendous advances in the domains of image segmentation and
object classification. However, real-time lane line detection and departure estimates in …

The aim of the paper was to analyze effective solutions for accurate lane detection on the
roads. We focused on effective detection of airport runways and taxiways in order to drive a …

Deep learning has made remarkable progress in the field of image classification and object
detection. Nevertheless, in the autonomous driving research, the real-time lane line …