Adaptive learning of Multi-Sensor Integration techniques with genetic algorithms
Conference
·
OSTI ID:10155770
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.
- Research Organization:
- Oak Ridge National Lab., TN (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States); Department of Defense, Washington, DC (United States)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 10155770
- Report Number(s):
- CONF-940859-21; ON: DE94012744
- Resource Relation:
- Conference: 5. international symposium on robotics and manufacturing,Maui, HI (United States),14-18 Aug 1994; Other Information: PBD: [1994]
- Country of Publication:
- United States
- Language:
- English
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