Results 1 to 10 of about 199,372 (271)
Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter [PDF]
IEEE International Conference on Robotics and Automation, 2019 Camera viewpoint selection is an important aspect of visual grasp detection, especially in clutter where many occlusions are present. Where other approaches use a static camera position or fixed data collection routines, our Multi-View Picking (MVP ...
Corke, Peter +2 more
core +2 more sources
Time-Domain Measurement Data Accumulation for Slow Moving Point Target Detection in Heavily Cluttered Environments Using CNN [PDF]
Journal of Electromagnetic Engineering and Science, 2023 In modern radars, the target detection probability is increased by lowering the detection threshold via signal processing to detect a point target with a small radar cross-section value.
Wonmin Cho, Nojun Kwak
doaj +1 more source
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 The clutter in the ground-penetrating radar (GPR) radargram disguises or distorts subsurface target responses, which severely affects the accuracy of target detection and identification.
Haihan Sun, Wei-Fang Cheng, Zheng Fan
semanticscholar +1 more source
DDGC: Generative Deep Dexterous Grasping in Clutter [PDF]
IEEE Robotics and Automation Letters, 2021 Recent advances in multi-fingered robotic grasping have enabled fast 6-Degrees-of-Freedom (DOF) single object grasping. Multi-finger grasping in cluttered scenes, on the other hand, remains mostly unexplored due to the added difficulty of reasoning over ...
Jens Lundell +2 more
semanticscholar +1 more source
Frontiers in Medicine, 2023 IntroductionVisual processing deficits in Alzheimer's disease are associated with diminished functional independence. While environmental adaptations have been proposed to promote independence, recent guidance gives limited consideration to such deficits
Dilek Ocal +10 more
doaj +1 more source
A Sea Clutter Suppression Method Based on Machine Learning Approach for Marine Surveillance Radar
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Marine surveillance radar is widely used in marine monitoring for its ability of observing sea surface all-time and all-weather. However, the radar target detection performance is seriously affected by the existence of sea clutter.
Jifang Pei +7 more
semanticscholar +1 more source
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching [PDF]
IEEE International Conference on Robotics and Automation, 2017 This article presents a robotic pick-and-place system that is capable of grasping and recognizing both known and novel objects in cluttered environments.
Andy Zeng +20 more
semanticscholar +1 more source
Target Detection Within Nonhomogeneous Clutter Via Total Bregman Divergence-Based Matrix Information Geometry Detectors [PDF]
IEEE Transactions on Signal Processing, 2020 Information divergences are commonly used to measure the dissimilarity of two elements on a statistical manifold. Differentiable manifolds endowed with different divergences may possess different geometric properties, which can result in totally ...
Xiaoqiang Hua +4 more
semanticscholar +1 more source
6-DOF Grasping for Target-driven Object Manipulation in Clutter [PDF]
IEEE International Conference on Robotics and Automation, 2019 Grasping in cluttered environments is a fundamental but challenging robotic skill. It requires both reasoning about unseen object parts and potential collisions with the manipulator.
Adithyavairavan Murali +4 more
semanticscholar +1 more source
Sensors, 2023 Chipless radio frequency identification (RFID) technology is expected to replace barcode technology due to its ability to read in non-line-of-sight (NLOS) situations, long reading range, and low cost.
Jahangir Alam +4 more
doaj +1 more source