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Road Terrain Classification Technology for Autonomous Vehicle (Unmanned System Technologies)

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This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors’ classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible. 
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HTML5 Game Development For Dummies
HTML5 Game Development For Dummies
Create games with graphics that pop for the web and mobile devices!

HTML5 is the tool game developers and designers have been eagerly awaiting. It simplifies the job of creating graphically rich, interactive games for the Internet and mobile devices, and this easy-to-use guide simplifies the learning curve. Illustrated in...

Designing Virtual Worlds
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Create various design patterns to master the art of solving problems using Java

Key Features

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