Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review

E Che, J Jung, MJ Olsen - Sensors, 2019 - mdpi.com
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 …

Mobile laser scanned point-clouds for road object detection and extraction: A review

L Ma, Y Li, J Li, C Wang, R Wang, MA Chapman - Remote Sensing, 2018 - mdpi.com
The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …

Collaborative and adversarial network for unsupervised domain adaptation

W Zhang, W Ouyang, W Li, D Xu - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
In this paper, we propose a new unsupervised domain adaptation approach called
Collaborative and Adversarial Network (CAN) through domain-collaborative and domain …

[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles

SD Pendleton, H Andersen, X Du, X Shen, M Meghjani… - Machines, 2017 - mdpi.com
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

Use of mobile LiDAR in road information inventory: A review

H Guan, J Li, S Cao, Y Yu - International Journal of Image and Data …, 2016 - Taylor & Francis
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 …

A survey of mobile laser scanning applications and key techniques over urban areas

Y Wang, Q Chen, Q Zhu, L Liu, C Li, D Zheng - Remote Sensing, 2019 - mdpi.com
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 …

A review of high-definition map creation methods for autonomous driving

Z Bao, S Hossain, H Lang, X Lin - Engineering Applications of Artificial …, 2023 - Elsevier
Autonomous driving has been among the most popular and challenging topics in the past
few years. Among all modules in autonomous driving, High-definition (HD) map has drawn …

Review of laser scanning technologies and their applications for road and railway infrastructure monitoring

M Soilán, A Sánchez-Rodríguez, P del Río-Barral… - Infrastructures, 2019 - mdpi.com
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 …

Deep learning-based tree classification using mobile LiDAR data

H Guan, Y Yu, Z Ji, J Li, Q Zhang - Remote Sensing Letters, 2015 - Taylor & Francis
Our work addresses the problem of extracting and classifying tree species from mobile
LiDAR data. The work includes tree preprocessing and tree classification. In tree …

Geometric primitives in LiDAR point clouds: A review

S **a, D Chen, R Wang, J Li… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
To the best of our knowledge, the most recent light detection and ranging (lidar)-based
surveys have been focused only on specific applications such as reconstruction and …