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

Ning Zhang;Yuan Yang;Jianhua Wu;Ziqian Zhao;Guodong Yin

School of Mechanical Engineering,Southeast University,Nanjing 211189, China;School of Instrument Science and Engineering,Southeast University,Nanjing 210096,China

中国机械工程学报

[1]Ning Zhang;Yuan Yang;Jianhua Wu;Ziqian Zhao;Guodong Yin-.Vehicular Electronic Image Stabilization System Based on a Gasoline Model Car Platform)[J].中国机械工程学报,2022(06):403-414

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