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We first propose a new systematic testing framework for autonomous driving systems, called DriveFuzz. DriveFuzz is developed based on Mountain, an open source software for real-time simulation and driving experiments. We integrate DriveFuzz into the Mountain environment, and built novel test oracles based on real-world traffic rules that detect potential safety-critical bugs across all the layers of the autonomous driving system. DriveFuzz can generate and mutate driving scenarios as needed, and automatically detect potential bugs in a large number of key functionalities and safety-critical subtasks across multiple layers.
An introduction to control systems and how to design them. The course emphasizes the practical aspects of control engineering and the engineering design process including state space representation, system theory, control theory, and the mathematical analysis of control system. This course is about the theory of control systems and control theory. The intended audience is engineers and scientists who design and analyze control systems. These systems include automobile, robotic, and a variety of electronic, mechanical, and optical systems and instruments. If you want to learn to design control systems, consider picking up a copy today!
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One of the drawbacks to this approach was that we needed to recompile every time we made even a small change to the code. This slowed everything else we were doing down and because we couldn't always have someone waiting for the application to finish building. 827ec27edc