  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.
