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A Survey of Rigid 3D Pointcloud Registration Algorithms
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. Expand
Outdoor IEEE 802.11ah Range Characterization Using Validated Propagation Models
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. Expand
A Comparison of Signal Strength Localization Methods with Sigfox
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. Expand
A novel active-passive sampling approach for measuring time-averaged concentrations of pollutants in water.
Results indicate that, via a well-defined in situ preconcentration step, the proposed APS approach shows promise for monitoring the concentration of a range of pollutants in water. Expand
A Benchmark Survey of Rigid 3D Point Cloud Registration Algorithms
Advanced user interface sensors are able to observe the environment in three dimensions with the use of specific optical techniques such as time-of-flight, structured light or stereo vision. Due toExpand
3DVFH+: Real-Time Three-Dimensional Obstacle Avoidance Using an Octomap
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 μs. Expand
Signal strength indoor localization using a single DASH7 message
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. Expand
Large-Scale Crowd Analysis through the Use of Passive Radio Sensing Networks
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. Expand
Validation of an indoor ray launching RF propagation model
This paper provides the validation of an indoor ray launching propagation model for sub-1GHz frequencies. The propagation model utilises a real environment, that is being captured using a robot and aExpand
Large Scale Crowd Density Estimation Using a sub-GHz Wireless Sensor Network
A sub-GHz wireless sensor network is deployed in an indoor stage at a music festival, proving the feasibility of using a WSN for such a task and indicating that the system is capable of estimating the crowd density with a high accuracy. Expand