Results 51 to 60 of about 9,013,010 (294)

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

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

PesRec: A parametric estimation method for indoor semantic scene reconstruction from a single image

International Journal of Applied Earth Observations and Geoinformation
Reconstructing semantic indoor scenes is a challenging task in augmented and virtual reality. The quality of scene reconstruction is limited by the complexity and occlusion of indoor scenes.
Xingwen Cao, Xueting Zheng, Hongwei Zheng, Xi Chen, Anming Bao, Ying Liu, Tie Liu, Haoran Zhang, Muhua Zhao, Zichen Zhang   +9 more
doaj   +1 more source

Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds

International Journal of Applied Earth Observations and Geoinformation, 2021
Due to the advantages of 3D point clouds over 2D optical images, the related researches on scene understanding in 3D point clouds have been increasingly attracting wide attention from academy and industry.
Huan Luo, Quan Zheng, Lina Fang, Yingya Guo, Wenzhong Guo, Cheng Wang, Jonathan Li   +6 more
doaj   +1 more source

DC-Scene: Data-centric learning for 3D scene understanding

Pattern Recognition Letters
3D scene understanding plays a fundamental role in vision applications such as robotics, autonomous driving, and augmented reality. However, advancing learning-based 3D scene understanding remains challenging due to two key limitations: (1) the large scale and complexity of 3D scenes lead to higher computational costs and slower training compared to 2D
Ting Huang, Zeyu Zhang, Ruicheng Zhang, Yang Zhao   +3 more
openaire   +2 more sources

Learning to exploit stability for 3D scene parsing [PDF]

, 2018
Human scene understanding uses a variety of visual and non-visual cues to perform inference on object types, poses, and relations. Physics is a rich and universal cue that we exploit to enhance scene understanding.
Wu, Jiajun, Basevi, Hector, Freeman, William T., Tenenbaum, Joshua T., Du, Yilun, Liu, Zhijian, Leonardis, Ales, Freenman, William T., Tenenbaum, Joshua B.   +8 more
core  

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

Advanced Robotics Research, EarlyView.
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao, Mitsuhiro Kamezaki, Ryosuke Dobashi, Yuhiro Iwamoto, Yasushi Ido, Yoshihiro Kawahara   +5 more
wiley   +1 more source

The 3D Gaussian Splatting SLAM System for Dynamic Scenes Based on LiDAR Point Clouds and Vision Fusion

Applied Sciences
This paper presents a novel 3D Gaussian Splatting (3DGS)-based Simultaneous Localization and Mapping (SLAM) system that integrates Light Detection and Ranging (LiDAR) and vision data to enhance dynamic scene tracking and reconstruction.
Yuquan Zhang, Guangan Jiang, Mingrui Li, Guosheng Feng   +3 more
doaj   +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, James eHays, Bryan C. Russell, Genevieve ePatterson, Krista eEhinger, Antonio eTorralba, Aude eOliva   +6 more
doaj   +1 more source

Pose2Room: Understanding 3D Scenes from Human Activities

, 2022
With wearable IMU sensors, one can estimate human poses from wearable devices without requiring visual input~\cite{von2017sparse}. In this work, we pose the question: Can we reason about object structure in real-world environments solely from human trajectory information?
Yinyu Nie, Angela Dai, Xiaoguang Han 0001, Matthias Nießner   +3 more
openaire   +4 more sources

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source