Titlebook: Visual Perception for Humanoid Robots; Environmental Recogn David Israel González Aguirre Book 2019 Springer Nature Switzerland AG 2019 Cog

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Obscure

Book 2019bitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing.?.??????.Feature Extraction & Recognition.: Parameter-free, edge extraction methods based on structural graphs enable the representati

尖酸一點

transplantation

chapel

David Israel González Aguirreety analysis for scenario identification, and scenario-based simulation with sensor attack models embedded. Given an autonomous system model, we identify hazard scenarios caused by sensor attacks, and evaluate the performance limitations in the scenarios. We report on a prototype simulator for auton

生來

David Israel González Aguirrethe smallest set of patterns that can cover the available system artifacts. For this, we utilize the ontology graphs of the system artifacts and the patterns and perform graph analytics. The selected patterns are fed into an external instantiation function to develop an assurance case. Then, they ar

infantile

narcissism

David Israel González Aguirree used in order to both increase safety and reliability of a neural network in a medical device. We use a combination of online and offline tests to detect undesired behavior. Online tests are performed in regular intervals during therapy and offline tests are performed when the device is not perfor

工作

David Israel González Aguirrems across the borders of di?erent application domains and technologies. The SAFECOMP 2006 program re?ected in this book included 32 papers selected from 101 submissions of full texts. The submissions came from authors representing 26 di?erent countries from Europe, Asia, and North and South America.

可能性

David Israel González Aguirrere and methods to ensure the accuracy of models derived from sensors whose interpretation uses AI and ML. Rather than derive the model from sensors bottom-up, we reverse the process and use the model to predict sensor interpretation. Small prediction errors indicate the world is evolving as expected