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- W2140993025 abstract "In this paper, a method to estimate and track the distance and velocity of an obstacle on the road based on a stereo vision system is presented. The distance and velocity can be calculated using the disparity in the stereo vision system. However, the quantization error of the pixels causes a deterioration in accuracy. The sub-pixel interpolation is used to compensate for the error, and then, the distance and velocity are tracked with a strong tracking extended Kalman filter using a constant velocity model (STEKF-CVM). The Monte-Carlo simulation results show that the performance of STEKF-CVM is better than that of other filters." @default.
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- W2140993025 date "2008-12-01" @default.
- W2140993025 modified "2023-10-16" @default.
- W2140993025 title "Tracking Distance and Velocity Using a Stereo Vision System" @default.
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- W2140993025 doi "https://doi.org/10.1109/fgcns.2008.42" @default.
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