CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction

Research article (2019 International Conference on Robotics and Automation (ICRA), 2019) · cited 102× · AI/ML
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CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction

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CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnn-svo-improving-the-mapping-in-semi-direct-visual-odometry-using-single-image-depth-prediction
MLA “CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnn-svo-improving-the-mapping-in-semi-direct-visual-odometry-using-single-image-depth-prediction.
BibTeX @misc{4ortxyz_cnn-svo-improving-the-mapping-in-semi-direct-visual-odometry-using-single-image-depth-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/cnn-svo-improving-the-mapping-in-semi-direct-visual-odometry-using-single-image-depth-prediction}, note = {Accessed: 2026-05-24}}
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