Vehicular Electronic Image Stabilization System Based on a Gasoline Model Car Platform

作     者：Ning Zhang Yuan Yang Jianhua Wu Ziqian Zhao Guodong Yin Ning Zhang;Yuan Yang;Jianhua Wu;Ziqian Zhao;Guodong Yin

作者机构：School of Mechanical EngineeringSoutheast UniversityNanjing 211189China School of Instrument Science and EngineeringSoutheast UniversityNanjing 210096China 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2022年第35卷第6期

页      面：351-362页

核心收录：

学科分类：082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程] 

基　　金：National Natural Science Foundation of China(Grant Nos.52072072 52025121 and 51605087) 

主　　题：Electronic image stabilization Environment perceptive function Feature point Adaptive Kalman filter Gasoline model car 

摘      要：Noise,vibration and harshness(NVH)problems in vehicle engineering are always challenging in both traditional vehicles and intelligent *** high accuracy manufacturing,modern structural roads and advanced suspension technology have already significantly reduced NVH problems and their impacts;off-road condition,obstacles and extreme operating condition could still trigger NVH problems *** paper proposes a vehicular electronic image stabilization(EIS)system to solve the vibration problem of the camera and ensure the environment perceptive function of ***,feature point detection and matching based on an oriented FAST and rotated BRIEF(ORB)algorithm are implemented to match images in the process of ***,a novel improved random sampling consensus algorithm(i-RANSAC)is proposed to eliminate mismatched feature points and increase the matching accuracy *** an adaptive Kalman filter(AKF)is applied to improve the adaptability of the vehicular ***,an experimental platform based on a gasoline model car was established to validate its *** experimental results show that the proposed EIS system can satisfy vehicular performance requirements even under off-road condition with obvious obstacles.