Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …

The integration of drones in the construction industry has ushered in a new era of efficiency,
accuracy, and safety throughout the various phases of construction projects. This paper …

Radars and lidars are two primary sensor modalities complementing optical cameras in
active safety and autonomous driving applications. Radars and lidars operate at …

In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …

In contrast to the literature where local patterns in 3D point clouds are captured by
customized convolutional operators, in this paper we study the problem of how to effectively …

Deep learning based LiDAR odometry (LO) estimation attracts increasing research interests
in the field of autonomous driving and robotics. Existing works feed consecutive LiDAR …

The increasing complexity of Intelligent Transportation Systems (ITS), that comprise a wide
variety of applications and services, has imposed a necessity for high-performance Modern …

In automated driving systems (ADS) and advanced driver-assistance systems (ADAS), an
efficient road segmentation is necessary to perceive the drivable region and build an …

Commercialization of self-driving applications requires precision and reliability of the
perception system due to the highly dynamic and complex road environment. Early …

LiDAR has been widely used in autonomous driving systems to provide high-precision 3D
geometric information about the vehicle's surroundings for perception, localization, and path …