Probabilistic Framework for Sensor Management

• Tác giả: Marco Huber
• Ngôn ngữ: eng
• ISBN-13: 978-3866444058
• ISBN: KSP/1000012224
• Ký hiệu phân loại: 621.3822 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting
• Thông tin xuất bản: Karlsruhe : KIT Scientific Publishing, 2009
• Mô tả vật lý: 1 electronic resource (VI, 159 p. p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 229381

Tóm tắt

A probabilistic sensor management framework is introduced, which maximizes the utility of sensor systems with many different sensing modalities by dynamically configuring the sensor system in the most beneficial way. For this purpose, techniques from stochastic control and Bayesian estimation are combined such that long-term effects of possible sensor configurations and stochastic uncertainties resulting from noisy measurements can be incorporated into the sensor management decisions.