Results 21 to 30 of about 1,174,484 (222)
A GRAPH BASED BUNDLE ADJUSTMENT FOR INS-CAMERA CALIBRATION [PDF]
In this paper, we present a graph based approach for performing the system calibration of a sensor suite containing a fixed mounted camera and an inertial navigation system.
D. Bender +5 more
doaj +1 more source
A sensor data fusion algorithm based on suboptimal network powered deep learning
To improve the performance of data fusion in wireless sensor networks, based on the suboptimal network powered deep learning model, a data fusion algorithm that combines a stacked autoencoder (SAE) and a clustering protocol is proposed.
Ning Pan
doaj +1 more source
Radar Voxel Fusion for 3D Object Detection
Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environments, such as automated underground trains, automotive perception systems ...
Felix Nobis +4 more
doaj +1 more source
With the increased use of composites in aircraft, many new successful contributions to the advancement of the structural health monitoring (SHM) field for composite aerospace structures have been achieved.
A.A.R. Broer +2 more
semanticscholar +1 more source
Choosing the Best Sensor Fusion Method: A Machine-Learning Approach
Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliability
Ramon F. Brena +4 more
doaj +1 more source
When considering the working conditions under which an unmanned surface vehicle (USV) operates, the navigational sensors, which already have inherent uncertainties, are subjected to environment influences that can affect the accuracy, security and ...
Wenwen Liu, Yuanchang Liu, R. Bucknall
semanticscholar +1 more source
Fusion of heterogeneous sensors data [PDF]
A configuration with heterogeneous sensors using different measurement approaches most likely overcome the problem of correlated measurement errors as they occur when employing a set of homogeneous sensors that suffer from the same problems. A heterogeneous approach requires sensor fusion algorithms that take the different uncertainties of the sensors ...
Wilfried Elmenreich, Robert Leidenfrost
openaire +1 more source
An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques
In the recent era of the Internet of Things, the dominant role of sensors and the Internet provides a solution to a wide variety of real-life problems.
Rajalakshmi Krishnamurthi +4 more
doaj +1 more source
The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors.
Shuanghu Qiao +3 more
doaj +1 more source
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning
Urban tree species classification is a challenging task due to spectral and spatial diversity within an urban environment. Unmanned aerial vehicle (UAV) platforms and small-sensor technology are rapidly evolving, presenting the opportunity for a ...
S. Hartling, V. Sagan, M. Maimaitijiang
semanticscholar +1 more source

