Results 51 to 60 of about 26,254 (190)
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
, 2019 Depth sensing is a critical function for robotic tasks such as localization, mapping and obstacle detection. There has been a significant and growing interest in depth estimation from a single RGB image, due to the relatively low cost and size of ...
Karaman, Sertac +4 more
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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
doaj +1 more source
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
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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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Recurrent Scene Parsing with Perspective Understanding in the Loop
, 2017 Objects may appear at arbitrary scales in perspective images of a scene, posing a challenge for recognition systems that process images at a fixed resolution.
Fowlkes, Charless, Kong, Shu
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TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced 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
IEEE 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
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Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
SELF-SUPERVISED LEARNING FOR MONOCULAR DEPTH ESTIMATION FROM AERIAL IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Supervised learning based methods for monocular depth estimation usually require large amounts of extensively annotated training data. In the case of aerial imagery, this ground truth is particularly difficult to acquire.
M. Hermann +7 more
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