Prediction of Lane Number Using Results From Lane Detection

TL;DR

This paper introduces a novel method that combines drive recorder images with lane detection results to accurately predict the lane number, addressing limitations of traditional lane detection algorithms.

Contribution

The paper presents a new approach for lane number prediction that integrates image data with detection results, improving accuracy without high computational costs.

Findings

High accuracy in lane number prediction on custom dataset

Effective integration of image data with lane detection results

Low additional computational overhead

Abstract

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.