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Information Sampling for vision-based robot navigation

Niall Winters, José Santos-Victor
2002 Robotics and Autonomous Systems  
This paper proposes a statistical, non-feature based, attention mechanism for a mobile robot, termed Information Sampling.  ...  Real world experimental results verify that vision-based navigation is possible using only a small number of discriminating image pixels.  ...  Information Sampling for local appearance-based robot navigation As previously noted, many appearance-based navigation systems relied upon the use of entire (possibly, omnidirectional) images to build  ... 
doi:10.1016/s0921-8890(02)00278-6 fatcat:px5gxehnzfa5zkrzjtj2ny2whu

Indoor Vision/INS Integrated Mobile Robot Navigation Using Multimodel-Based Multifrequency Kalman Filter

Yuan Xu, Tongqian Liu, Bin Sun, Yong Zhang, Siamak Khatibi, Mingxu Sun, Yongmin Zhong
2021 Mathematical Problems in Engineering  
In order to further improve positioning accuracy, this paper proposes an indoor vision/INS integrated mobile robot navigation method using multimodel-based multifrequency Kalman filter.  ...  Firstly, to overcome the insufficient accuracy of visual data when a robot turns, a novel multimodel integrated scheme has been investigated for the mobile robots with Mecanum wheels which can make fixed  ...  For the navigation system integrating INS and version information, the sampling time of the IMU is more faster than that value of the VNS.  ... 
doi:10.1155/2021/6694084 fatcat:qv2uojeiejgddapzmdb5p3t3nm

Mobile Robot Intelligence Based SLAM Features Learning and Navigation

Ebrahim Mattar et. al.
2018 International Journal of Computing and Digital Systems  
For efficient, and knowledge based navigation, it is essential to blend mobile robot navigation details with information and details from navigation paths-localities.  ...  In this respect, the presented scheme was focused towards building intelligence for mobile robot navigation.  ...  Emad AlDean, and for the valuable image and data recording.  ... 
doi:10.12785/ijcds/070103 fatcat:pirdw6duyzhnhe5u4ldgnaipve

Biologically Inspired Vision for Indoor Robot Navigation [chapter]

M. Saleiro, K. Terzić, D. Lobato, J. M. F. Rodrigues, J. M. H. du Buf
2014 Lecture Notes in Computer Science  
In this paper we present a completely biologically inspired vision system for robot navigation.  ...  It comprises stereo vision for obstacle detection, and object recognition for landmark-based navigation. We employ a novel keypoint descriptor which codes responses of cortical complex cells.  ...  Biologically inspired vision for robot navigation In this section we present a system for robot navigation which makes use of recent advances in modelling early cortical vision processes.  ... 
doi:10.1007/978-3-319-11755-3_52 fatcat:cqbabb2vrjfw5b2nvt7oirnkqu

Vision Based SLAM for Mobile Robot Navigation Using Distributed Filters [chapter]

Young Jae, Sankyung Sung
2010 Mobile Robots Navigation  
Conclusion In this chapter, a vision based SLAM and encoder integrated system is presented for mobile robot navigation.  ...  In this chapter, we suggest a vision-based SLAM method to improve the navigation performance of mobile robot.  ...  /mobile-robots-navigation/vision-based-slam-for-mobile-robot-navigationusing-distributed-filters  ... 
doi:10.5772/8991 fatcat:52jb6hhit5hdpdrgf2urf3wyg4

Real-time Map Update Using Pose Reliability of Visual Features [chapter]

Joong-Tae Park, Yong-Ju Lee, Jae-Bok Song
2008 Advances in Service Robotics  
Either the range-based or vision-based scheme alone cannot overcome these sensor limitations; sensor fusion based localization should be implemented to compensate for the shortcomings of each sensor.  ...  The autonomous navigation system used in this research works based on a range sensor and a vision sensor. Figure 1 shows the structure of the integrated navigation system.  ... 
doi:10.5772/5945 fatcat:mu56h5skrvdipa7m4bfq5josiu

Path Recognition for Agricultural Robot Vision Navigation under Weed Environment [chapter]

Peidong Wang, Zhijun Meng, ChangHai Luo, Hebo Mei
2014 IFIP Advances in Information and Communication Technology  
In this paper, a path recognition method for agricultural robot vision navigation under weed environment is proposed. The vision navigation is based on color images sampled by a high speed camera.  ...  First, the crop and weed information is extracted using an appropriate color feature model to separate the green crop from background; then the image is thresholded, and the noise caused by weed is filtered  ...  The path recognition method in this paper is practical and accurate for vision-based robot navigation.  ... 
doi:10.1007/978-3-642-54344-9_30 fatcat:5j77adex2fdr3os2xl2v2zahp4

Hierarchical Navigation Architecture and Robotic Arm Controller for a Sample Return Rover

Velin Dimitrov, Mathew DeDonato, Adam Panzica, Samir Zutshi, Mitchell Wills, Taskin Padir
2013 2013 IEEE International Conference on Systems, Man, and Cybernetics  
A three tier navigation architecture and inverse Jacobian based robot arm controller are presented.  ...  This work presents a hierarchical navigation architecture and cascade classifier for sample search and identification on a space exploration rover.  ...  ACKNOWLEDGMENT The authors would like to thank those who supported this work including AGCO, KVH, Clearpath Robotics, Harmonic Drive LLC, NVIDIA, Dragon Innovation, Gigavac, EKWB, Lincoln Tool, and Advanced  ... 
doi:10.1109/smc.2013.761 dblp:conf/smc/DimitrovDPZWP13 fatcat:oquz47v3cjfdlcnfyqflonzdzm

Vision based Systems for Localization in Service Robots [chapter]

Paulraj M.P., Hema C.R.
2010 Robot Localization and Map Building  
The computations involved in vision-based localization can be divided into the following four steps [Borenstein et al, 1996] : (i) Acquire sensory information: For vision-based navigation, this means  ...  Passive Stereo Vision for Robot Localization Making a robot see obstacles in its environment is one of the most important tasks in robot localization and navigation.  ...  /vision-based-systems-for-localization-inservice-robots  ... 
doi:10.5772/9254 fatcat:2q27jiwicbgtbjrv653s4rclse

Challenges and Solutions for Autonomous Robotic Mobile Manipulation for Outdoor Sample Collection

Lei Cui
2015 Journal Electrical and Electronic Engineering  
using global navigation satellite system (GNSS), vision-based navigation and visual servoing, robotic manipulation, mobile robot path planning and control.  ...  This paper reviewed the various challenges in sample collection in terms of navigation of the mobile platform and manipulation of the robotic arm from four aspects, namely mobile robot positioning/attitude  ...  Array-Based, Multi-GNSS Carrier-Phase Platform Navigator In this project, these challenges will be met by developing an array-based, multi-GNSS carrier-phase platform navigator for the fetching robotic  ... 
doi:10.11648/j.jeee.20150305.20 fatcat:ssn7fk2dqnajxaczt77xg4dfre

Positioning, Navigation, and Book Accessing/Returning in an Autonomous Library Robot using Integrated Binocular Vision and QR Code Identification Systems

Xiaojun Yu, Zeming Fan, Hao Wan, Yuye He, Junye Du, Nan Li, Zhaohui Yuan, Gaoxi Xiao
2019 Sensors  
is responsible for both robot operational error elimination and robotic arm BAR operation determination.  ...  the robot P&N accuracies, and then construct an autonomous library robot for high-precision BAR operations.  ...  Vision navigation, including monocular vision, binocular vision, and multi-vision, is based on camera systems to collect surrounding information to establish environment maps for P&Ns [12] .  ... 
doi:10.3390/s19040783 fatcat:okatadz2nbeipo2alplopusic4

Mobile Robot Feature-Based SLAM Behavior Learning, and Navigation in Complex Spaces [chapter]

Ebrahim A. Mattar
2018 Applications of Mobile Robots [Working Title]  
Learning mobile robot space and navigation behavior, are essential requirements for improved navigation, in addition to gain much understanding about the navigation maps.  ...  This chapter presents mobile robots feature-based SLAM behavior learning, and navigation in complex spaces.  ...  [5] have introduced a hybrid approach for vision based self-localization of autonomous mobile robots.  ... 
doi:10.5772/intechopen.81195 fatcat:w4qvcalwera5rd7efa2rkjv5qy

Editorial: Visual navigation and mapping outdoors

Cyrill Stachniss, Stefan Williams, José Neira
2010 Journal of Field Robotics  
The experimental evaluation illustrates the advantages of the proposed approach and its usefulness for vision-based navigation systems.  ...  The paper by Krajnik et al. describes a visual navigation system that, based on the map-and-replay technique, uses monocular vision, a compass, and odometry information to learn feature headings along  ... 
doi:10.1002/rob.20358 fatcat:tbakizz3ajcjlglehs3p3p6cpe

State-based SHOSLIF for indoor visual navigation

Juyang Weng, Shaoyun Chen
2000 IEEE Transactions on Neural Networks  
His current research interests include mental development, computer vision, autonomous navigation, human-machine interface using vision, speech, gesture, and actions.  ...  Recently, he been pursuing a new research direction called developmental robots-robots that can autonomously develop their own cognitive and behavioral capabilities through on-line, real-time interactions  ...  In our vision-based navigation, three outcomes are required: state ( ), control signal ( ) for mobile robot, and visual attention signal ( ) used to choose the attention window.  ... 
doi:10.1109/72.883430 pmid:18249855 fatcat:bpv642bd5vcwldovkn4mmjvela

Application of GPS systems on a mobile robot

Peter Cao, Mayank Saxena, Maurice Tedder, Steve Mischalske, Ernest L. Hall, David P. Casasent, Ernest L. Hall
2001 Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision  
The purpose of this paper is to describe the use of Global Positioning Systems (GPS) as geographic information and navigational system for a ground based mobile robot.  ...  Then GPS information may be displayed for verification. However, the GPS information is also used to update the control points of the mobile robot using a reinforcement learning method.  ...  It gets information from both vision systems and the sonar system, integrates the information, make decisions based on those signals and then send the command to the control board.  ... 
doi:10.1117/12.444198 fatcat:uyxhxksq75c77bhuoamthsnqnu
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