Inferring the Driver’s Lane Change Intention through LiDAR-Based Environment Analysis Using Convolutional Neural Networks

Inferring the Driver’s Lane Change Intention through LiDAR-Based Environment Analysis Using Convolutional Neural Networks

Most of the tactic manoeuvres during driving require a certain understanding of the surrounding environment from which to devise our future behaviour. In this paper, a Convolutional Neural Network (CNN) approach is used to model the lane change behaviour to identify when a driver is going to perform...

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Bibliographic Details
Main Authors: Alberto Díaz-Álvarez, Miguel Clavijo, Felipe Jiménez, Francisco Serradilla
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
Convolutional Neural Networks
Intelligent Transportation Systems
lane change
ADAS
driver’s behaviour
autonomous driving
Online Access:https://www.mdpi.com/1424-8220/21/2/475

Internet

https://www.mdpi.com/1424-8220/21/2/475

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