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...

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Bibliographic Details
Main Authors: Juan Borrego-Carazo, David Castells-Rufas, Ernesto Biempica, Jordi Carrabina
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9016213/