Autonomous vehicles were experiencing rapid development in the past few years. However,
achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic …

Abstract Autonomous Driving Vehicle (ADV) services have become a prominent motif in
intelligent vehicle technology by adapting deep learning features. Automated driverless …

The up-to-date and information-accurate road database plays a significant role in many
applications. Recently, with the improvement in image resolutions and quality, remote …

Due to the growing awareness of driving safety and the development of sophisticated
technologies, advanced driving/driver assistance system (ADAS) has been equipped in …

Traffic signs are indispensable fixtures in modern transportation activities, which are
installed along the roadside or over the pathway to provide important prompt messages. The …

Classification of remote sensing (RS) images is a key technology for extracting information
on ground objects using RS methods. Inspired by the success of deep learning (DL) in …

Recently, researchers have realized a number of achievements involving deep-learning-
based neural networks for the tasks of segmentation and detection based on 2D images, 3D …

Road detection plays an important role in a wide range of applications. However, due to size
variations, spectral diversities, occlusions, and complex scenarios, it is still challenging to …

In the evolving landscape of autonomous driving technology, Light Detection and Ranging
(LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental …

Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to
survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data …