Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation

Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation

This study presents a shallow and robust road segmentation model. The computer-aided real-time applications, like driver assistance, require real-time and accurate processing. Current studies use Deep Convolutional Neural Networks (DCNN) for road segmentation. However, DCNN requires high computation...

Full description

Bibliographic Details
Main Authors: Muhammad Junaid, Mubeen Ghafoor, Ali Hassan, Shehzad Khalid, Syed Ali Tariq, Ghufran Ahmed, Tehseen Zia
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
segmentation
road detection
autonomous vehicle
computer vision
Online Access:https://ieeexplore.ieee.org/document/8988193/

Internet

https://ieeexplore.ieee.org/document/8988193/

Similar Items