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Driving Context-guided Model Predictive Planning and Control for Autonomous Car Racing at the Limit and Beyond
This paper presents a Model Predictive Control-based motion planning and control pipeline for autonomous car racing capable of adapting to different driving contexts, such as overtaking, nominal driving, and countersteering. A Cost Blending state machine manages the identification of different drivi
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