Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

Scientific knowledge on autonomous-driving technology is expanding at a faster-than-ever
pace. As a result, the likelihood of incurring information overload is particularly notable for …

(57) ABSTRACT A system and method for controlling a convoy of vehicles. The convoy of
vehicles including a leader vehicle in commu nication with a plurality of autonomous …

Wision System 07 Obstacledetection ment system is configured to receive input from a
combina tion of at least two cameras selected from among the first, second, and third video …

Computer vision encompasses the construction of integrated vision systems and the
application of vision to problems of real-world importance. The process of creating 3D …

Many CNN-based segmentation methods have been applied in lane marking detection
recently and gain excellent success for a strong ability in modeling semantic information …

This book surveys the history of automatic vehicle guidance based on the processing of
visual information, starting from the very first projects worldwide up to the latest …

Advanced Motion Control and Sensing for Intelligent Vehicles provides the latest information
in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing …

We present a system for detecting and recognizing road markings from video input obtained
from an in-car camera. Our system learns feature-based templates of road markings from …

Detecting pedestrians is still a challenging task for automotive vision systems due to the
extreme variability of targets, lighting conditions, occlusion, and high-speed vehicle motion …