Results 51 to 60 of about 3,462,291 (207)
DeepFusion encoder for unsupervised monocular metric depth estimation [PDF]
PeerJ Computer ScienceMonocular depth estimation is a fundamental task in computer vision, with significant applications in autonomous driving and robotics. However, accurately estimating depth from a single image remains challenging due to the absence of direct depth cues ...
Zhiwei Huang +6 more
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Learning Depth for Scene Reconstruction Using an Encoder-Decoder Model
IEEE Access, 2020 Depth estimation has received considerable attention and is often applied to visual simultaneous localization and mapping (SLAM) for scene reconstruction.
Xiaohan Tu +6 more
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Monocular Depth Estimation Based on Multi-Scale Depth Map Fusion
IEEE Access, 2021 Monocular depth estimation is a basic task in machine vision. In recent years, the performance of monocular depth estimation has been greatly improved. However, most depth estimation networks are based on a very deep network to extract features that lead
Xin Yang +4 more
doaj +1 more source
Monocular Depth Estimators: Vulnerabilities and Attacks
CoRR, 2020 Recent advancements of neural networks lead to reliable monocular depth estimation. Monocular depth estimated techniques have the upper hand over traditional depth estimation techniques as it only needs one image during inference. Depth estimation is one of the essential tasks in robotics, and monocular depth estimation has a wide variety of safety ...
Alwyn Mathew +2 more
openaire +3 more sources
DronesEfficient trajectory and path planning (TPP) is essential for unmanned aircraft systems (UASs) autonomy in challenging environments. Despite the scale ambiguity inherent in monocular vision, characteristics like compact size make a monocular camera ideal
Yongzhou Pan +6 more
doaj +1 more source
An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Advanced Robotics Research, EarlyView.Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source
Monocular Image Depth Estimation Based on the Fusion of Transformer and CNN
Journal of Harbin University of Science and Technology, 2022 Aiming at the problem of low accuracy in monocular vision image depth estimation, a monocular image depth estimation method based on Transformer and convolutional neural network is proposed. First, ResNet-50 is used as the backbone network of the encoder-
ZHANG Tao, ZHANG Xiao-li, REN Yan
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Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
A Survey of Robotic Monocular Pose Estimation
SensorsRobotic monocular pose estimation is an important part of neural monocular pose estimation-driven methods, which includes monocular simultaneous localization and mapping (SLAM) and single-view object pose estimation (OPE) driven by neural methods.
Kun Zhang, Guozheng Song, Qinglin Ai
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