Lane Keeping
Lane keeping, a crucial aspect of autonomous driving, focuses on developing systems that maintain a vehicle within its designated lane. Current research emphasizes robust algorithms, including convolutional neural networks for vision-based lane detection and model predictive control for trajectory optimization, often incorporating data from simulations to improve real-world performance. This field is vital for enhancing road safety and enabling the wider adoption of automated driving technologies, with ongoing efforts to improve system reliability under diverse conditions and to develop standardized evaluation methods.
Papers
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