Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems

2010 ◽  
Vol 2 (1) ◽  
pp. 6-17 ◽  
Author(s):  
Michael Munz ◽  
M Mahlisch ◽  
K Dietmayer
Keyword(s):  
Data Fusion ◽  
Sensor Data ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion ◽  
Assistance Systems

scholarly journals Object-Level Fusion for Surround Environment Perception in Automated Driving Applications

2017 ◽  
Author(s):  
Michael Aeberhard
Keyword(s):  
Data Fusion ◽  
Sensor Data ◽  
Driver Assistance ◽  
Automated Driving ◽  
Driver Assistance Systems ◽  
Sensor Data Fusion ◽  
Level Sensor ◽  
Environment Perception ◽  
High Level ◽  
Level Fusion

Driver assistance systems have increasingly relied on more sensors for new functions. As advanced driver assistance system continue to improve towards automated driving, new methods are required for processing the data in an efficient and economical manner from the sensors for such complex systems. In this thesis, an environment model approach for the detection of dynamic objects is presented in order to realize an effective method for sensor data fusion. A scalable high-level fusion architecture is developed for fusing object data from several sensors in a single system. The developed high-level sensor data fusion architecture and its algorithms are evaluated using a prototype vehicle equipped with 12 sensors for surround environment perception. The work presented in this thesis has been extensively used in several research projects as the dynamic object detection platform for automated driving applications on highways in real traffic. Contents Abbreviations VIII List of Symbols X Abs...

Operator Use of Multi-Sensor Data Fusion for Airborne Picture Compilation

2020 ◽  
Author(s):  
Geoffrey Ho ◽  
Erin Kim ◽  
Shahzaib Khattak ◽  
Stephanie Penta ◽  
Tharmarasa Ratnasingham ◽  
...  
Keyword(s):  
Data Fusion ◽  
Sensor Data ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion
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