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Titlebook: Deep Learning for Autonomous Vehicle Control; Algorithms, State-of Sampo Kuutti,Saber Fallah,Richard Bowden Book 2019 Springer Nature Switz

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Concluding Remarks,ts to later chapters were also presented. The review of control techniques was broken into three sections: lateral, longitudinal, and full vehicle control. The lateral control systems were shown to favor using supervised learning to predict steering angles from image inputs, while the dominant trend
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Safety Validation of Neural Networks,s learned and how it makes its decisions is no longer feasible [159]. Second, online learning systems have the capability to self-optimize their performance by changing their internal structure during operation. This leads to further difficulty for functional safety validation when online learning i
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Book 2019learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field..
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Society, Psychology and the Individualof patronising humour, sarcasm and indifference in order to maintain a symbolic distance of authority and ‘motivate’ them to work independently. His proud boasts also indicate the significance of gender to his work identity.
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Ergebnisse der Materialauswertungen,e slight limitation which this assumption introduces is more than outweighed by the fact that it removes the need to build a world model, a task that would very probably prove impossible at the required level of detail.
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