Paper About Autonomous Navigation and Map Building Using Laser Range Sensor in Outdoor Applications
The paper contains discussion related to accuracy, algorithm, standard kalman filter, total errors, and deviation. There are lots of things regarding kalman filter, laser intensity, standard deviation, and laser range are presented inside this paper.
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This paper presents the design of a high accuracy outdoor navigation system based on standard dead reckoning sensors and laser range and bearing information. The data validation problem is addressed using laser intensity information. The beacon design aspect and location of landmarks are also discussed in relation to desired accuracy and required area of operation. The results are important for Simultaneous Localization and Map building applications, (SLAM), since the feature extraction and validation are resolved at the sensor level using laser intensity.
Giving more content, this paper presents info around intensity, position error, range, and sensors.
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In the paper you can learn information related to ambient light, distance sensor, errors, distance measurement, and point sensor module. Lots ...
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