Traffic Line Detection Algorithm Based on Generative Adversarial Networks and ResNeXt
In the real scene,the driving environment is complex and changeable.The illumination variation,road shadow,and occlusion of vehicles and buildings interfere with the traffic line identification.Due to this issue,the semantic segmentation traffic lane detection algorithm based on the combination of SAGAN and ResNeXt was proposed.First,Gaussian filter and linear point operation were used to preprocess the input images.The image texture features were enhanced.The influences of illumination and noise on the images were reduced.Second,the generation countermeasure network SAGAN was used to generate the images for expanding the data set.Combined with ResNeXt network,the SGRNeXt detection model was established.The model adopted the idea of VGG stacking and the Split-Transform-Eerge idea of Inception,which could improve the accuracy and reduce the hyper parameters amount without increasing parameters complexity.Simultaneously,the algorithm,based on row-direction position selection and classification,was used to classify on the full connection layer.It used the global features as extraction features to solve the problem of receptive field.Then the traffic line detection based on semantic segmentation was carried out.Finally,the test and verification were performed on the TuSimple data set.The result indicates that the accuracy of proposed SGRNeXt detection algorithm can reach 95.7%.The position selection and classification algorithm,based on the row direction,makes the recognition speed significantly improved,and the FPS can reach 53.74,which meets the real-time requirements.The addition of SAGAN can make the model more stable,prevent overfitting,and enhance the model classification ability.The proposed algorithm has the good detection effect on traffic line recognition under visual occlusion and variable lighting conditions.It can improve the robustness and accuracy of traffic line recognition in various environments.
intelligent transporttraffic line detectionSGRNeXt modeldeep learningautomatic drivingResNeXt
NETL
NSTL
万方数据
