A Convolutional Neural Network-Based End-to-End Self-Driving Using LiDAR and Camera Fusion: Analysis Perspectives in a Real-World Environment

A Convolutional Neural Network-Based End-to-End Self-Driving Using LiDAR and Camera Fusion: Analysis Perspectives in a Real-World Environment

In this paper, we develop end-to-end autonomous driving based on a 2D LiDAR sensor and camera sensor that predict the control value of the vehicle from the input data, instead of modeling rule-based autonomous driving. Different from many studies utilizing simulated data, we created an end-to-end au...

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Bibliographic Details
Main Authors: Mingyu Park, Hyeonseok Kim, Seongkeun Park
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Electronics
Subjects:
end-to-end control
convolutional neural network
self-driving
LiDAR sensor
vision sensor
Online Access:https://www.mdpi.com/2079-9292/10/21/2608

Internet

https://www.mdpi.com/2079-9292/10/21/2608

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