Results 31 to 40 of about 2,014,996 (306)
Semantically rich indoor models are increasingly used throughout a facility’s life cycle for different applications. With the decreasing price of 3D sensors, it is convenient to acquire point cloud data from consumer-level scanners.
Shengjun Tang +9 more
doaj +1 more source
Learning Adjustable Reduced Downsampling Network for Small Object Detection in Urban Environments
Detecting small objects (e.g., manhole covers, license plates, and roadside milestones) in urban images is a long-standing challenge mainly due to the scale of small object and background clutter.
Huijie Zhang +5 more
doaj +1 more source
This paper concerns a new methodology for accuracy assessment of GPS (Global Positioning System) verified experimentally with LiDAR (Light Detection and Ranging) data alignment at continent scale for autonomous driving safety analysis.
Janusz Bedkowski +10 more
doaj +1 more source
Aiming at the issue of low accuracy in crop mapping and growth monitoring caused by imprecise calibration of radar time-series data, this paper proposed a Synthetic Aperture Radar (SAR) spatio-temporal error compensation method.
Yong Hong +6 more
doaj +1 more source
The tunnel industry has started focusing on the maintenance and management challenges of an existing infrastructure. It is an urgent matter in industrialised countries, where the stakeholders’ attention is increasing at a fast pace considering the ...
Federico Foria +3 more
doaj +1 more source
An approach to mobile collaborative mapping [PDF]
With the advent of Web 2.0, users now expect to be able to customise, edit and share information from any online device. These capabilities are unavailable in many geographic information applications and where it is, it is far too difficult to use. Satellite navigation devices and software are also not flexible enough in this regard.
Soon, Chien +2 more
openaire +3 more sources
Mobile Mapping Technologies [PDF]
AbstractThis chapter introduces the historic development as well as the latest progress of mobile mapping systems. First, mobile mapping technologies, including the introduction of positioning and mapping sensors, and how they can be integrated together, are briefly reviewed.
Kai Wei Chiang +2 more
openaire +1 more source
Kinematic laser scanning with moving platforms has been used for the acquisition of 3D point clouds of our environment for many years. A main application of these mobile systems is the acquisition of the infrastructure, e.g., the road surface and ...
Erik Heinz +3 more
doaj +1 more source
Microdrone-Based Indoor Mapping with Graph SLAM
Unmanned aerial vehicles offer a safe and fast approach to the production of three-dimensional spatial data on the surrounding space. In this article, we present a low-cost SLAM-based drone for creating exploration maps of building interiors.
Samer Karam +3 more
doaj +1 more source
Laser rangefinders (LRFs) are widely used in autonomous systems for indoor positioning and mobile mapping through the simultaneous localization and mapping (SLAM) approach. The extrinsic parameters of multiple LRFs need to be determined, and they are one
Deyu Yin +5 more
doaj +1 more source

