A platform and algorithm for omnidirectional robot sensing by Chen, Hongjin

“…Therefore, stereo cameras and LIDAR can complement each other in depth measurement of objects. …”
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Object depth estimation from single image by Long, Zhongtian

“…The outcomes of this experiment are evaluated using three different training techniques: monocular training, stereo training, and monocular plus stereo training[25]. …”
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A machine learning-enabled mobile app for glaucoma detection by Toshiko, Seki Jennifer

“…The network was modified to classify non-stereo fundus images of the retina and integrated into the app. …”
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3D object detection from point cloud by Yin, Xiangyu

“…Most previous researches of 3D detection are based on monocular or stereo cameras, which not perform well. Recent years, with the development of Lidar, the introduction of point cloud provides the network with accurate geometric information, leading to the remarkable progress in 3D detection files. …”
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Development of binocular vision guided mobility for autonomous vehicle by Lai, Tingfeng

“…The project began with a new principle toward achieving a robust matching solution which leverages on the use and integration of top down image sampling strategy, hybrid feature extraction, and Restricted Coulomb Energy (RCE) neural network for cognition as well as recognition, finally utilizing stereo matching to derive three-dimensional coordinates. …”
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Depth map generation : depth estimation from images by Zhao, Yukai

“…The most commonly used method is stereo matching technology, which uses triangulation to estimate scene depth information from the image, but it can be easily affected by the diversity of scenes, and the amount of calculation is huge. …”
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