Localization in Outdoor Environments using Multi-Sensor Localization Framework
نویسندگان
چکیده
منابع مشابه
Multi-Sensor Fusion for Localization of a Mobile Robot in Outdoor Environments
An essential key capability for a mobile robot to perform autonomous navigation is the ability to localize itself in its environment. The most basic way to perform localization is dead-reckoning, i.e., to use relative measuring sensors of the robot like odometry (wheel encoders) by incrementally incorporating the measured revolutions of the robots wheels from a known starting position. As these...
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There is recently an increasing interest in applications based on localization of mobile objects in outdoor environment. Many existing localization solutions rely primarily on a hybrid wireless network/dead reckoning (DR) scheme, as the regular wireless network can hardly estimate a position with satisfactory accuracy in bad channel conditions. However, the DR can involve considerable hardware ...
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As a mobile robot navigates through an indoor environment, the condition of the floor is of low (or no) relevance to its decisions, because it does not expect to find holes, rocks or other severe imperfections. In an outdoor environment, terrain characteristics play a major role on the robot’s motion. Without an adequate assessment of terrain conditions and irregularities, the robot will be pro...
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A sensor-based vision localization system is one of the most essential technologies in computer vision applications like an autonomous navigation, surveillance, and many others. Conventionally, sensor-based vision localization systems have three inherent limitations, These include, sensitivity to illumination variations, viewpoint variations, and high computational complexity. To overcome these...
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ژورنال
عنوان ژورنال: Journal of the Robotics Society of Japan
سال: 2012
ISSN: 0289-1824,1884-7145
DOI: 10.7210/jrsj.30.296