Estimation of Vehicular Velocity based on Non-Intrusive stereo camera

2023/04/11 by Bikram Adhikari, Adhikari, Bikram, Prabin Bhandari +1
Computer Science · Engineering · #Video Surveillance and Tracking Methods #Autonomous Vehicle Technology and Safety #Advanced Vision and Imaging

paper · pdf · doi:10.48550/arxiv.2304.05298

Abstract

The paper presents a modular approach for the estimation of a leading vehicle's velocity based on a non-intrusive stereo camera where SiamMask is used for leading vehicle tracking, Kernel Density estimate (KDE) is used to smooth the distance prediction from a disparity map, and LightGBM is used for leading vehicle velocity estimation. Our approach yields an RMSE of 0.416 which outperforms the baseline RMSE of 0.582 for the SUBARU Image Recognition Challenge

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