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Software Pipeline in Safer Autonomous Vehicles – Part 1

Safety concern in an autonomous vehicles (AV) primarily arises from the software pipeline which has successfully replaced the human driver, who earlier acted as an integrator and operator of various driving tasks. AV need to perform multiple highly dynamic and complex tasks for which they should be able to generalise any unpredictable situation and this process primarily depends on its ...

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Part-of-Speech Tagging using Hidden Markov Models

Parts of Speech (POS) tagging is a text processing technique to correctly understand the meaning of a text. POS tagging is the process of assigning the correct POS marker (noun, pronoun, adverb, etc.) to each word in an input text. We discuss POS tagging using Hidden Markov Models (HMMs) which are probabilistic sequence models.

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Machine Learning in a Nonlinear World: a Linear Explanation through the Domain of the Autonomous Vehicles

The use of machine learning (ML) algorithms is becoming common in safety-critical autonomous systems (AS) such as autonomous vehicles and advanced robotic tasks. These systems are nonlinear and interact with nonlinear (dynamic) environments, resulting in stochastic outcomes. In this post, we introduce how ML is applied to such dynamic systems, more specifically for the autonomous vehicles, and a first discussion ...

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Assurance Case Notations

GSN is the dominant notation for AC constructions. The SACM 2.0 framework enables the model-based AC process with the support of the model-based engineering platforms, and further to link the AC model with the system model automatically. We can envisage the future application in the engineering practice of SACM.

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