Resource-Constrained Machine Learning for ADAS: A Systematic Review
The advent of machine learning (ML) methods for the industry has opened new possibilities in the automotive domain, especially for Advanced Driver Assistance Systems (ADAS). These methods mainly focus on specific problems ranging from traffic sign and light recognition to pedestrian detection. In mo...
Main Authors: | Juan Borrego-Carazo, David Castells-Rufas, Ernesto Biempica, Jordi Carrabina |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9016213/ |
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