Analyzing Performance Effects of Neural Networks Applied to Lane Recognition under Various Environmental Driving Conditions

Analyzing Performance Effects of Neural Networks Applied to Lane Recognition under Various Environmental Driving Conditions

Lane detection is an essential module for the safe navigation of autonomous vehicles (AVs). Estimating the vehicle’s position and trajectory on the road is critical; however, several environmental variables can affect this task. State-of-the-art lane detection methods utilize convolutional neural ne...

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Bibliographic Details
Main Authors: Tatiana Ortegon-Sarmiento, Sousso Kelouwani, Muhammad Zeshan Alam, Alvaro Uribe-Quevedo, Ali Amamou, Patricia Paderewski-Rodriguez, Francisco Gutierrez-Vela
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:World Electric Vehicle Journal
Subjects:
autonomous vehicles
benchmark
lane detection
pre-trained networks
transfer learning
Online Access:https://www.mdpi.com/2032-6653/13/10/191

Internet

https://www.mdpi.com/2032-6653/13/10/191

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