Deep learning for image and point cloud fusion in autonomous driving: A review
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 …
achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic …
A review of mobile mapping systems: From sensors to applications
M Elhashash, H Albanwan, R Qin - Sensors, 2022 - mdpi.com
The evolution of mobile mapping systems (MMSs) has gained more attention in the past few
decades. MMSs have been widely used to provide valuable assets in different applications …
decades. MMSs have been widely used to provide valuable assets in different applications …
Evaluation of deep neural networks for traffic sign detection systems
Traffic sign detection systems constitute a key component in trending real-world
applications, such as autonomous driving, and driver safety and assistance. This paper …
applications, such as autonomous driving, and driver safety and assistance. This paper …
Mobile laser scanned point-clouds for road object detection and extraction: A review
The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …
A survey of mobile laser scanning applications and key techniques over urban areas
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 …
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …
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 …
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …
Machine vision based traffic sign detection methods: Review, analyses and perspectives
C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
[HTML][HTML] Scan-to-BIM for the infrastructure domain: Generation of IFC-compliant models of road infrastructure assets and semantics using 3D point cloud data
The development of the IFC 4.3 candidate standard sets the pathway for interoperability
amongst different infrastructures that have been harmonized under the buildingSMART …
amongst different infrastructures that have been harmonized under the buildingSMART …
Urban 3D modeling using mobile laser scanning: A review
Mobile laser scanning (MLS) systems mainly comprise laser scanners and mobile mapping
platforms. Typical MLS systems are able to acquire three-dimensional point clouds with 1-10 …
platforms. Typical MLS systems are able to acquire three-dimensional point clouds with 1-10 …
3D point cloud to BIM: Semi-automated framework to define IFC alignment entities from MLS-acquired LiDAR data of highway roads
Building information modeling (BIM) is a process that has shown great potential in the
building industry, but it has not reached the same level of maturity for transportation …
building industry, but it has not reached the same level of maturity for transportation …