Adaptive Filter and Estimator for Echolocation in Air and Robotic Vision

We present an adaptive filtering and echo-locator system that is able to adapt to the change in air temperature, pressure and humidity, preserving its capabilities of correctly detecting the echo position. The paper discusses the potential benefits of adaptively modifying the emission spectrum in ultrasound robotic vision, with emphasis on the detection of the texture and consistency of the obstacles. A sketch of the ideas in this paper have been briefly presented.