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This research addresses the challenges of visually impaired individuals' independent travel by avoiding obstacles. The study proposes a distance estimation ...
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Nov 13, 2023 · In this paper, we introduce novel physics (geometry)-driven deep learning frameworks for these two tasks by assuming that 3D scenes are ...
Jun 14, 2023 · Introducing NeuralDistance! This project focuses on utilizing monocular vision to estimate distances and detect objects with remarkable accuracy ...
Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.
Instead of directly estimating the depth map or completing the sparse depth map, we propose to estimate the surface normal and plane-to-origin distance maps or ...
Mar 14, 2022 · Abstract:Distance estimation from vision is fundamental for a myriad of robotic applications such as navigation, manipulation, and planning.
Monocular vision distance estimation utilizes image captured by a single camera to compute distance. Currently, it is divided into model-based distance ...
Sep 20, 2022 · Mice accurately perform an ethological distance estimation task based on gap jumping and can use monocular cues to estimate distance in ...
In this paper we propose a simple, fast and efficient deep learning model capable of extracting distance information for a detected object from monocular images ...
Distance estimation using a monocular camera is one of the most classic tasks for computer vision. Current monocular distance estimating methods need a lot ...