论文标题
使用车道检测结果对车道数量的预测
Prediction of Lane Number Using Results From Lane Detection
论文作者
论文摘要
车辆行驶的车道号是智能车场的关键因素。提出了许多车道检测算法，如果我们能够完美地检测车道，我们可以直接从车道检测结果中计算车道数。但是，实际上，车道检测算法有时表现不佳。因此，我们提出了一种预测车道数的新方法，其中我们将驱动记录仪图像与车道检测结果结合起来以预测车道数。我们自己数据集的实验证实，我们的方法在没有显着增加计算成本的情况下取得了出色的结果。
The lane number that the vehicle is traveling in is a key factor in intelligent vehicle fields. Many lane detection algorithms were proposed and if we can perfectly detect the lanes, we can directly calculate the lane number from the lane detection results. However, in fact, lane detection algorithms sometimes underperform. Therefore, we propose a new approach for predicting the lane number, where we combine the drive recorder image with the lane detection results to predict the lane number. Experiments on our own dataset confirmed that our approach delivered outstanding results without significantly increasing computational cost.
