![]() image: has a pgm format which contains numeric values between 0 and 255.Large errors of odomerty and/or range sensors will result into inaccurate and skewed maps. ![]() The filtering technique allow to attenuate the effect of these errors onto the precision of the map. In addition, range sensors are another source of errors. Usually, this process uses filtering techniques like Kalman filters or praticle filters to improve the estimation of obstacle while moving and removing noise and errors from measurements.Īn example of error of measurement is the measure of odometry which known to be imprecise and is subject to cumulative errors over time. The range sensor is used to detect the distance to obstacle whose estimated locations will be stored into a data structure (e.g/ 2D array) and when the robot is moving, it keeps updating this data structure my setting cell either occupied or empty based on the estimation of its location and the estimation of the distance to the obstacle. ![]() laser sensors, 3D sensors, ultrasonic sensors) while the robot is moving around and exploring an unknown area. It is the process of building a map using range sensors (e.g. ![]() SLAM refers to Simultaneous Localization and Mapping. ![]()
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