Deep-learning (DL) algorithms, which learn the representative and discriminative features in
a hierarchical manner from the data, have recently become a hotspot in the machine …

Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light
Detection and Ranging (lidar) technology that has been utilized for a wide range of …

In this paper, we propose a new unsupervised domain adaptation approach called
Collaborative and Adversarial Network (CAN) through domain-collaborative and domain …

This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …

The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …

Estimation of forest aboveground biomass (AGB) is crucial for various technical and
scientific applications, ranging from regional carbon and bioenergy policies to sustainable …

Mobile LiDAR technology is currently one of the attractive topics in the fields of remote
sensing and laser scanning. Mobile LiDAR enables a rapid collection of enormous volumes …

Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …

Urban planning and management need accurate three-dimensional (3D) data such as light
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …

The effective detection of curbs is fundamental and crucial for the navigation of a self-driving
car. This paper presents a real-time curb detection method that automatically segments the …