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A Survey of Rigid 3D Pointcloud Registration Algorithms
TLDR
The main contribution of this paper consists of an overview of registration algorithms that are of interest in the field of computer vision and robotics, for example Simultaneous Localization and Mapping.
A Benchmark Survey of Rigid 3D Point Cloud Registration Algorithms
TLDR
This survey studies different stateof-the-art registration algorithms, which are able to determine the motion between two corresponding 3D point clouds, and concludes that the ICP point-to-surface method is the most precise algorithm.
Outdoor IEEE 802.11ah Range Characterization Using Validated Propagation Models
TLDR
This paper evaluates seven path loss models, based on a large scale sub-urban measurement campaign, including macro line-of- sight (LoS), pico LoS, and pico non-LoS with different as well as equal antenna height deployments, including MAC-layer throughput and packet loss as a function of distance.
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A novel active-passive sampling approach for measuring time-averaged concentrations of pollutants in water.
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A Comparison of Signal Strength Localization Methods with Sigfox
TLDR
A comparison of three proximity methods, one fingerprinting method and three ranging methods using Sigfox communication messages achieves the best result compared to other signal strength localization methods.
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MapFuse: Complete and Realistic 3D Modelling
TLDR
A novel method to simulate a complete indoor environment that can be used for evaluating a radio propagation model efficiently is presented and a complete volumetric model is created by merging an initial model of the environment with the result of RGB-D SLAM based on real sensor measurements.
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3DVFH+: Real-Time Three-Dimensional Obstacle Avoidance Using an Octomap
TLDR
This algorithm is based on the 2D VFH+ obstacle avoidance algorithm and uses the octomap framework to represent the three-dimensional environment and is able to calculate a new robot motion with an average time of 300 ÎĽs.
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Signal strength indoor localization using a single DASH7 message
TLDR
This paper presents a method to localize a DASH7 mobile node based on a single message and a deterministic propagation model so that single measurement localization approach is possible without maintaining a fingerprint database.
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Large-Scale Crowd Analysis through the Use of Passive Radio Sensing Networks
TLDR
A set of experiments in which a passive Radio Frequency sensor network is installed in different environments containing thousands of human individuals and the accuracy with which the resulting measurements can be used to estimate the sizes of these crowds is described.
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Combining multiple sub-1 GHz frequencies in Radio Tomographic Imaging
TLDR
It is proved the feasibility of combining only frequencies under 1 GHz in an RTI system, by improving the state-of-the-art fusion of two frequencies and studying two approaches to combine the RTI images generated by one frequency with the other.
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