Robotics: control, sensing, vision, and intelligence
Robotics: control, sensing, vision, and intelligence
Sensor models and multisensor integration
International Journal of Robotics Research - Special Issue on Sensor Data Fusion
Data fusion in robotics and machine intelligence
Data fusion in robotics and machine intelligence
Composition of biosonar images for target recognition by echolocating bats
Neural Networks - Special issue: automatic target recognition
Progress in Automatic Signature Verification
Progress in Automatic Signature Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining multiple goals in a behavior-based architecture
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 1 - Volume 1
Sensor Fusion for SLAM Based on Information Theory
Journal of Intelligent and Robotic Systems
Hi-index | 0.00 |
Fusion of multi-sensor information is an important technology, which is growing exponentially due to its tremendous application potential in many areas. Effective fusion of data from sensors is very critical in increasing an intelligent system's capability to accomplish complex tasks. Appropriate fusion technologies are needed to be developed specially when a system requires redundant sensors to be used. More the redundancy in sensors, more is the computational complexity for controlling the system and more is its intelligence level. This research presents a strategy developed for multiple sensor fusion, based on geometric optimization. Each sensor's uncertainty has been modeled using classical Lagrangian optimization techniques. However, the uniqueness and effectiveness of the present technique lies on the fact that starting from the optimized value as initial estimate the accuracy of the sensory information has further been improved up to any pre defined bounded range, by developing two architectures – FFA (fission–fusion architecture) and FDD (fusion in differential domain). Sufficient evidences and analyses have been provided in the paper to show its effectiveness in various applications.