Multisensor integration and fusion for intelligent machines and systems
Multisensor integration and fusion for intelligent machines and systems
The steerable pyramid: a flexible architecture for multi-scale derivative computation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Image Sequence Fusion Using a Shift-Invariant Wavelet Transform
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Visual perception of obstacles and vehicles for platooning
IEEE Transactions on Intelligent Transportation Systems
Reliable Detection of Overtaking Vehicles Using Robust Information Fusion
IEEE Transactions on Intelligent Transportation Systems
Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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A dual infrared system to assist a driver in bad visibility conditions is studied. The problem of selecting the best multiresolution-based image fusion technique is addressed with reference to automotive scenarios. A new method for objective evaluation of multisensor image fusion strategies is presented for the optimal design of the fusion process. Multiresolution-based fusion methodologies are compared, and experimental results obtained from a prototype dual infrared camera system are shown and analyzed. Numerical results, in terms of the quality of the fused images and of the computational load, are presented and discussed. The effectiveness of the dual infrared system in urban and extraurban automotive scenarios is illustrated with a number of examples.