Results 71 to 80 of about 7,519,950 (294)
Biohybrid Crawling Robot With Spiral‐Spring Backbone and Inclined Legs for Enhanced Locomotion
Advanced Materials, EarlyView.We present a biohybrid crawling robot integrating a muscle ring with a flexible skeleton combining two complementary structural elements. The spiral‐spring backbone enables large‐amplitude bending without compromising axial stability, while outward‐inclined legs with unequal front–rear lengths effectively convert deformation into directional strides ...
Tomohiro Morita +2 more
wiley +1 more source
Machine Learning with Applications, 2022 Target localization and classification from radar point clouds is a challenging task due to the inherently sparse nature of the data with highly non-uniform target distribution.
Anand Dubey +5 more
doaj +1 more source
Multi-frame scene-flow estimation using a patch model and smooth motion prior [PDF]
, 2010 This paper addresses the problem of estimating the dense 3D motion of a scene over several frames using a set of calibrated cameras. Most current 3D motion estimation techniques are limited to estimating the motion over a single frame, unless a strong ...
Bhalerao, Abhir +2 more
core
Dynamic Fluorescence Modulation via Light‐Driven Competitive Protonation
Advanced Optical Materials, EarlyView.A two‐component molecular system demonstrates reversible, light‐driven fluorescence write–erase cycling and thermal imaging. Illumination of a merocyanine photoacid transfers a proton to a highly efficient fluorescent pyridinium dye, switching its emission color; thermal relaxation reverses the process in the dark.
Serena X. Liu +10 more
wiley +1 more source
Vehicle-Related Scene Understanding Using Deep Learning [PDF]
, 2023 Given diverse and intricate nature of traffic scenes, it becomes imperative to comprehend the scene from multiple perspectives and dimensions. In scenes that entail hierarchical relationships and demand a comprehensive grasp of global context, the ...
Liu, Xiaoxu
core
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Basic Level Scene Understanding: Categories, Attributes and Structures
Frontiers in Psychology, 2013 A longstanding goal of computer vision is to build a system that can automatically understand a 3D scene from a single image. This requires extracting semantic concepts and 3D information from 2D images which can depict an enormous variety of ...
Jianxiong eXiao +6 more
doaj +1 more source
Large-Scale Semantic Scene Understanding with Cross-Correction Representation
Remote Sensing, 2022 Real-time large-scale point cloud segmentation is an important but challenging task for practical applications such as remote sensing and robotics. Existing real-time methods have achieved acceptable performance by aggregating local information. However,
Yuehua Zhao +3 more
doaj +1 more source
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
Meta-tracking for video scene understanding [PDF]
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013 This paper presents a novel method to extract dominant motion patterns (MPs) and the main entry/exit areas from a surveillance video. The method first computes motion histograms for each pixel and then converts it into orientation distribution functions (ODFs).
Jodoin, Pierre-Marc +2 more
openaire +3 more sources