Lane Marking Semantic Segmentation Using Convolutional Neural Networks

A. R. Muzalevskiy; Elena V. Serykh; Mihail M. Kopichev; Evgenij V. Druian; Maksim A. Chernyshev

doi:10.1109/scm58628.2023.10159034

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Lane Marking Semantic Segmentation Using Convolutional Neural Networks

A. R. Muzalevskiy Elena V. Serykh Mihail M. Kopichev Evgenij V. Druian Maksim A. Chernyshev

Year: 2023 Pages: 123-126

DOI: 10.1109/scm58628.2023.10159034

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Abstract

This paper describes the design of a convolutional neural network for horizontal lane marking semantic segmentation based on camera data. The ApolloScape dataset was used to train the network.

Keywords:

Convolutional neural network Computer science Segmentation Artificial intelligence Pattern recognition (psychology) Image segmentation Artificial neural network Semantics (computer science) Computer vision Natural language processing

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Topics

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Lane Marking Semantic Segmentation Using Convolutional Neural Networks

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