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- W4313484768 abstract "We propose a sliding windowed graph-optimization based approach for the fusion of two stereo visual odometries with 6 degrees of freedom poses. Stereo odometries are calculated independently, using pairs of stereo images that are captured by stereo cameras mounted on the top of a moving platform. We implemented our sliding windowed approach using the public library LIBVISO2. Our results are compared against the two recognized SLAM frameworks ORB-SLAM2 and UCOSLAM. The relative pose error of the fused poses decreases by up to 94% in relation to the error of single stereo odometry and by up to 91% compared with the results of UCOSLAM." @default.
- W4313484768 created "2023-01-06" @default.
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- W4313484768 date "2022-10-18" @default.
- W4313484768 modified "2023-09-27" @default.
- W4313484768 title "Sliding Windowed Optimization Algorithm for Fusion of Redundant Stereo Visual Odometries" @default.
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- W4313484768 doi "https://doi.org/10.1109/lars/sbr/wre56824.2022.9995979" @default.
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