Results 61 to 70 of about 6,226 (231)

Monocular Depth Estimators: Vulnerabilities and Attacks

open access: yesCoRR, 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   +2 more sources

Monocular Depth Estimation: A Survey

open access: yesCoRR, 2019
8 pages, 1 figure, 4 ...
openaire   +2 more sources

Monocular Image Depth Estimation Based on the Fusion of Transformer and CNN

open access: yesJournal 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
doaj   +1 more source

A Survey of Robotic Monocular Pose Estimation

open access: yesSensors
Robotic 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
doaj   +1 more source

Gradient-Based Uncertainty for Monocular Depth Estimation

open access: yes, 2022
In monocular depth estimation, disturbances in the image context, like moving objects or reflecting materials, can easily lead to erroneous predictions. For that reason, uncertainty estimates for each pixel are necessary, in particular for safety-critical applications such as automated driving.
Julia Hornauer, Vasileios Belagiannis
openaire   +2 more sources

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced 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

MoNA Bench: A Benchmark for Monocular Depth Estimation in Navigation of Autonomous Unmanned Aircraft System

open access: yesDrones
Efficient 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

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

open access: yesAdvanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince   +3 more
wiley   +1 more source

Self-Supervised Monocular Depth Estimation With Extensive Pretraining

open access: yesIEEE Access, 2021
Although depth estimation is a key technology for three-dimensional sensing applications involving motion, active sensors such as LiDAR and depth cameras tend to be expensive and bulky.
Hyukdoo Choi
doaj   +1 more source

On the benefit of adversarial training for monocular depth estimation

open access: yesComputer Vision and Image Understanding, 2020
11 pages, 8 tables, 5 figures, accepted at ...
Rick Groenendijk   +3 more
openaire   +3 more sources

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