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Machine Learning Theory and Practice, 2020, 1(3); doi: 10.38007/ML.2020.010301.

Child Identification Optimization Algorithm for AEB System of Autonomous Vehicle based on Machine Learning

Author(s)

Zhanwei Feng

Corresponding Author:
Zhanwei Feng
Affiliation(s)

Department of Information Engineering, Heilongjiang International University, Harbin 150025, China

Abstract

With the development of cities and the extension of roads, related concepts such as smart cities and intelligent transportation are coming out. The child recognition (CR) algorithm of autonomous vehicle (AV) AEB system has played an important role in road traffic safety. Based on machine learning (ML) technology, this paper studies and analyzes the optimization algorithm of CR in AV AEB system. This paper briefly analyzes the working principle and basic control logic of the automatic emergency braking system (AEB) system, discusses the auto drive system, and applies it to the CR optimization algorithm of the AV AEB system by analyzing the ML technology.

Keywords

Machine Learning, Autonomous Vehicle, AEB System, Child Recognition Optimization Algorithm

Cite This Paper

Zhanwei Feng. Child Identification Optimization Algorithm for AEB System of Autonomous Vehicle based on Machine Learning. Machine Learning Theory and Practice (2020), Vol. 1, Issue 3: 1-10. https://doi.org/10.38007/ML.2020.010301.

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