Deep Learning Based Segmentation Approach for Automatic Lane Detection in Autonomous Vehicle

Author:

Kaushal Rajanish Kumar1,R Arvind2,Giri Kshama K B3,Sindhu M.4,L Natrayan5,Ronald Bindu6

Affiliation:

1. Chandigarh University,Department of Electrical Engineering,Gharuan, Mohali,Punjab,India

2. CMR Institute of Technology,Department of Information Science and Engineering,Bangalore,Karnataka,India,560037

3. BGS Institute of Technology, Adichunchanagiri University,Department of Information Science and Engineering,Mandya,Karnataka,India,571 448

4. R.M.K. Engineering College,Department of CSBS,Thiruvallur,Tamil Nadu,India,601 206

5. Saveetha School of Engineering, SIMATS,Department of Mechanical Engineering,Chennai,Tamil Nadu,India,602105

6. Symbiosis Law School (SLS), Symbiosis International (Deemed University) (SIU),Faculty of Law,Viman Nagar, Pune,Maharashtra,India,411014

Publisher

IEEE

Reference16 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2. A study to find facts behind pre-processing on deep learning algorithms;ranganathan;Journal of Innovative Image Processing,2021

3. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,0

4. Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling;badrinarayanan;ArXiv Preprint,2015

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