Results 271 to 280 of about 71,058 (310)

Multi-sensor data fusion for accurate surface modeling

Soft Computing, 2020
Multi-sensor data fusion is advantageous while fusing data from heterogeneous range sensors, for scanning a scene containing both fine and coarse details. This paper presents a new multi-sensor range data fusion method with the aim to increase the descriptive contents of the entire generated surface model. First, a new training framework of the scanned
Mahesh Kr. Singh, Ashish Dutta, K. S. Venkatesh   +2 more
openaire   +1 more source

Multi-Sensor Ocean Color Data Fusion and Applications

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
In this paper, we provide an overview of the progress on producing accurate global ocean color products from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP) and NOAA-20 satellites. VIIRS global ocean color products include normalized water-leaving radiance spectra nL w (l) at VIIRS five
Menghua Wang, Mike Chu, Veronica Lance, Lide Jiang, Xiaoming Liu 0012, SeungHyun Son, Karlis Mikelsons, Junqiang Sun, Wei Shi 0002, Liqin Tan, Xiaolong Wang 0008   +10 more
openaire   +1 more source

Determination of Olive Trees with Multi-sensor Data Fusion

2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2019
Global warming, which triggers climatic changes, has direct effects on the phenology of plants. For a sustainable agricultural production, continuous monitoring of crops and trees is critical to have updated information and producing effective agricultural plans.
Haydar Akcay, Sinasi Kaya, Elif Sertel, Ugur Alganci   +3 more
openaire   +1 more source

A Review of Multi-sensor Data Fusion for Traffic

2018
Data fusion is the process of integrating multi-sources data to obtain more consistent, accurate, and beneficial information than that provided by any single data source. This paper sum the state of the data fusion field and describes the most relevant studies. We first explain data fusion and multiple sensors Then, data fusion in traffic are reviewed.
Xue Zhao, Dongbo Zhang 0001
openaire   +1 more source

Robot Navigation Based on Multi-sensor Data Fusion

2011 Second International Conference on Digital Manufacturing & Automation, 2011
This paper mainly focuses on a multi-sensor system for combining data from infrared and ultrasonic sensors in the navigation of coal mine rescue robots, meanwhile a navigation method is presented. A multiple infrared and ultrasonic sensor system has been developed for complete coverage navigation of a robot.
Meng Guo, Wanli Liu, Zhankui Wang
openaire   +1 more source

Multi-sensor Data Fusion for Object Rotation Estimation

2018 25th International Conference "Mixed Design of Integrated Circuits and System" (MIXDES), 2018
The main goal of the work presented in this article was to develop a set of algorithms in order to fuse data from sensors equipped with 3-axis gyroscope and 3-axis accelerometer. Gathered data was used to obtain information about the rotation of the given object. The rotation of an object was calculated using the rotation matrix.
Andrzej Napieralski, Wojciech Tylman
openaire   +1 more source

Efficient multi-sensor data fusion for space surveillance

2015 American Control Conference (ACC), 2015
Multi-sensor networks can extend the sensing region of a single sensor in order to provide a more geometrically diverse and comprehensive view of the state of a dynamical system. The use of a multi-sensor network gives rise to the need for a fusion step that combines the outputs of all sensor nodes into a single probabilistic state description.
Kyle J. DeMars, James S. McCabe, Jacob E. Darling   +2 more
openaire   +1 more source

Multi Sensor Data Fusion for High Speed Machining

2007
Surface roughness (Ra) control in High Speed Machining (HSM) demands reliable monitoring systems. A new data fusion model based on a multi-sensor system is developed. The model considers cutting parameters, cutting tool geometry, material properties and process variables. It can be used to predict the Ra pre and in-process.
Antonio Vallejo Jr., Rubén Morales-Menéndez, Miguel Ramírez 0001, José R. Alique, Luis E. Garza 0001   +4 more
openaire   +1 more source

Multi-Sensor Measurement and Data Fusion

IEEE Instrumentation & Measurement Magazine, 2022
Zheng Liu 0002, George Xiao 0001, Huan Liu 0002, Hanbing Wei   +3 more
openaire   +1 more source

Multi Sensor Data Fusion With Risk Assessment

2019 International Conference on Advanced Electrical Engineering (ICAEE), 2019
In robotic field, autonomous navigation safely is a timely subject. Therefore, many researchers try to elaborate a reliable system to respond this exigency. Among these systems, we mention multi sensor data fusion. The data fusion is an active field of research, It is almost applied in all domains. it is resolved by several manner. The best represented
Elhaouari Kobzili, Cherif Larbes, Billel Kellalib, Fethi Demim, Ahmed Allam, Abdelghani Boucheloukh   +5 more
openaire   +1 more source