Company Filing History:
Years Active: 2017-2018
Title: The Innovative Mind of Bulent Ayhan
Introduction
Bulent Ayhan is a notable inventor based in Bethesda, MD (US). He has made significant contributions to the field of technology, particularly in the areas of target recognition and unmanned ground vehicle (UGV) guidance systems. With a total of 2 patents, his work showcases a blend of advanced algorithms and practical applications.
Latest Patents
Bulent Ayhan's latest patents include an "Automatic target recognition system with online machine learning capability." This invention involves a method and apparatus for real-time target recognition within a multispectral image. It generates radiance signatures from reflectance signatures, sensor information, and environmental information. The system detects targets in the multispectral image using a sparsity-driven target recognition algorithm, which is fine-tuned with a deep neural network.
Another significant patent is the "Method and system for UGV guidance and targeting." This invention fuses spectral information from multiple imagers of an unmanned ground vehicle (UGV). By providing highly accurate targeting and guidance information, it employs a robust two-step image registration process for aligning images captured by each imager. This process achieves sub-pixel accuracy, allowing the UGV to automatically identify targets of interest and move toward them. The invention also incorporates an accurate anomaly detection algorithm and advanced composition estimation algorithms, enhancing the UGV's operational capabilities.
Career Highlights
Throughout his career, Bulent Ayhan has worked with various organizations, including Other and Applied Research, LLC. His expertise in machine learning and image processing has positioned him as a valuable asset in the field of technology.
Collaborations
Bulent has collaborated with professionals such as Chiman Kwan, contributing to the development of innovative solutions in his area of expertise.
Conclusion
Bulent Ayhan's contributions to technology through his patents reflect his innovative spirit and dedication to advancing the field. His work in target recognition and UGV guidance systems demonstrates the potential of combining machine learning with practical applications.