Essays about: "Software-in-loop"
Showing result 1 - 5 of 8 essays containing the word Software-in-loop.
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1. Virtual Test Cell : a Real-Time digital twin of an internal combustion engine
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : As the world is evolving faster and technology gets cheaper and more powerful, simulations are proving to be more and more beneficial. Simulations allow for faster development with less lead time between iterations which means that product versions can be released more often and at less cost. READ MORE
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2. Hardware in Loop Simulations of Electric Drives
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Electric drives are crucial components of powertrain of modern vehicles. They need to be controlled effectively to deliver a comfortable and efficient driving experience. The control unit needs to be robust to handle extreme operating conditions and faults in a safe manner. READ MORE
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3. A new approach to identify corner test cases for AD/ADAS functions in a Virtual Environment
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The validation of Autonomous Drive (AD) software needs sufficient testing to ensure the safety of autonomous vehicles. Scenario-based testing in a virtual environment provides a platform to detect AD/ ADAS software bugs and fix them early in the software development life cycle. READ MORE
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4. Cooperative Navigation in Space in-proximity of Small Bodies
University essay from Luleå tekniska universitet/RymdteknikAbstract : Autonomous proximity operations are the future of Deep space robotic exploration for searchof life, mining for resources and to establish outposts. Part of that future depends on howwell the spacecraft is capable to navigate around the complex environment of the smallcelestial body. READ MORE
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5. Automated advanced analytics on vehicle data using AI
University essay from KTH/FordonsdynamikAbstract : The evolution of electrification and autonomous driving on automotive leads to the increasing complexity of the in-vehicle electrical network, which poses a new challenge for testers to do troubleshooting work in massive log files. This thesis project aims to develop a predictive technique for anomaly detection focusing on user function level failures using machine learning technologies. READ MORE