An Enhanced Classification Technique for Mitigating Unexpected Noise Intrusions in Autonomous Vehicles
Author:
Affiliation:
1. University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA
2. Ford Moter Company,Dearborn,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10598816/10598836/10598942.pdf?arnumber=10598942
Reference7 articles.
1. Automated driving systems: A vision for safety,2017
2. Autonomous Driving Architectures: Insights of Machine Learning and Deep Learning Algorithms
3. Autonomous Vehicle Accident Data Analysis: California OL 316 Reports: 2015–2020
4. Road Infrastructure Challenges Faced by Automated Driving: A Review
5. Deep Learning-Based Real-Time Traffic Sign Recognition System for Urban Environments
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