Results 61 to 70 of about 20,695 (309)

The common state filter for SLAM

, 2008
This paper presents the Common State Filter (CSF), a novel and efficient suboptimal Multiple Hypothesis SLAM (MHSLAM) method for Kalman Filter-based SLAM algorithms. Conventional MHSLAM algorithms require the entire vehicle and map state to be copied for
Parsley, MP, S.J. Julier, Julier, SJ, M.P. Parsley   +3 more
core   +1 more source

GHRHR Deficiency Enhances Retinal Ganglion Cell Survival and Visual Functions in Experimental Glaucoma by Inhibiting Ferroptosis

Advanced Science, EarlyView.
Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong, Ming Ho Yam, Jiaxin Zhang, Lin Du, Linbin Zhou, Yolanda Wong Ying Yip, Bo Man Ho, Hemlata Bisnauthsing, Jiahui Li, Ivan Kong, Shushu Xu, Changzhen Fu, Karl K.H. So, Joaquim S.L. Vong, Ling‐Ping Cen, Ming‐Ming Yang, Khazeema Yousaf, Mai Har Sham, Sun On Chan, Poemen P. Chan, Chi Pui Pang, Clement C. Tham, Jing Na He, Jian Li, Wai Kit Chu   +24 more
wiley   +1 more source

Comparison of the SLAM algorithms: Hangar experiments

MATEC Web of Conferences, 2016
This study purposes to compare two known algorithms in an application scenario of simultaneous localization and mapping (SLAM) and to present issues related with them as well.
Korkmaz Mehmet, Yılmaz Nihat, Durdu Akif   +2 more
doaj   +1 more source

Visual 3-D SLAM from UAVs

, 2009
The aim of the paper is to present, test and discuss the implementation of Visual SLAM techniques to images taken from Unmanned Aerial Vehicles (UAVs) outdoors, in partially structured environments.
Campoy Cervera, Pascual, Martínez Luna, Carol Viviana, Mondragon, Ivan F., Olivares Méndez, Miguel Ángel, Sebastian y Zuñiga, Jose Maria, Artieda, Jorge, Artieda Trigueros, Jorge, Correa Caicedo, Juan Fernando, Sebastian, Jose M., Correa, Juan F., Mondragon Bernal, Ivan Fernando, Correoa, Juan F., Martinez, Carol, Olivares Méndez, Miguel A., Campoy, Pascual   +14 more
core   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

A Review of Common Techniques for Visual Simultaneous Localization and Mapping

Journal of Robotics, 2023
Mobile robots are widely used in medicine, agriculture, home furnishing, and industry. Simultaneous localization and mapping (SLAM) is the working basis of mobile robots, so it is extremely necessary and meaningful for making researches on SLAM ...
Yong Dai, Jiaxin Wu, Duo Wang
doaj   +1 more source

GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping [PDF]

2019 International Conference on Robotics and Automation (ICRA), 2019
We present a Deep Learning based system for the twin tasks of localization and obstacle avoidance essential to any mobile robot. Our system learns from conventional geometric SLAM, and outputs, using a single camera, the topological pose of the camera in an environment, and the depth map of obstacles around it. We use a CNN to localize in a topological
Punarjay Chakravarty, Praveen Narayanan, Tom Roussel   +2 more
openaire   +2 more sources

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Transformer-Based Network for Robust 3D Industrial Environment Understanding in Autonomous UAV Systems

Energy Engineering and Control Systems
Autonomous navigation of unmanned aerial vehicles (UAVs) in unstructured industrial environments remains challenging due to irregular geometry, dynamic obstacles and sensor uncertainty.
Oleksii Kuchkin, Artem Sazonov, Iryna Cherepanska, Anatoliy Zhuchenko   +3 more
doaj   +1 more source

MAPPING QUALITY EVALUATION OF MONOCULAR SLAM SOLUTIONS FOR MICRO AERIAL VEHICLES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Monocular simultaneous localization and mapping (SLAM) attracted much attention in the mobile-robotics domain over the past decades along with the advancements of small-format, consumer-grade digital cameras.
J. Wang, M. Shahbazi
doaj   +1 more source