The present disclosure provides an intelligent driving method for passing intersections based on a support vector machine.  The intelligent driving method applied on a vehicle includes a support vector machine providing step in which the support vector machine is provided.  The support vector machine has been trained by a training process.  In the training process, a training dataset is provided to the support vector machine.  The training dataset is obtained after an original dataset processed by a dimensionality reducing module and a time scaling module.  The intelligent driving method includes a dataset processing step in which p features from an environment sensing unit are processed by the dimensionality reducing module and the time scaling module, and the processed dataset will be provided to the support vector machine.  The intelligent driving method further includes a deciding step for providing a driving decision for the vehicle according to a classed result of the support vector machine.  Therefore, the decision precision can be improved.

Applied Country	Category	專利狀態	證書號	專利權期間	研究成果公告日期
CN	Intelligence and safety	獲證	CN111055849B	2021/04/06~2038/10/17