This article reviews the challenges and advancements in the sensor architecture of autonomous racing vehicles, with a focus on Roborace and the Indy Autonomous Challenge (IAC). The analysis explores different…
Continue readingThis research paper proposes an efficient model predictive control (MPC) strategy for autonomous miniature racing. It uses a feasible sequential quadratic programming (SQP) algorithm to generate intermediate iterations, which allows…
Continue readingThe paper, ‘Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning’ by Yunlong Song et al., presents a study comparing the effectiveness of Reinforcement Learning (RL) and Optimal…
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