Adaptive learning of Multi-Sensor Integration techniques with genetic algorithms
James E. Baker · University of North Texas Digital Library (University of North Texas) · 1994
This research focuses on automating the time-consuming process of developing and optimizing multi-sensor integration techniques. Our approach is currently based on adaptively learning how to exploit low-level image detail. Although this system is specifically designed to be both sensor and application domain independent, an empirical validation with actual multi-modal sensor data is presented.