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Optimal visual sensor planning

Jian Zhao, Sen-ching S. Cheung
2009 2009 IEEE International Symposium on Circuits and Systems  
Using this visibility model, a novel BIP algorithms are proposed to find the optimal camera placement for tracking visual tags in multiple cameras.  ...  The design of such a visual sensor network is a challenging problem due to the complexity of the environment, self and mutual occlusion of moving objects, diverse sensor properties and a myriad of performance  ...  In section II we develop the visibility model for the "visual tagging" problem based on the probability of observing a tag from multiple visual sensors.  ... 
doi:10.1109/iscas.2009.5117711 dblp:conf/iscas/ZhaoC09 fatcat:my6yaa6i4vetle43ox27kdsjmq

Optimal Placement of Multiple Visual Sensors [chapter]

Eva Hörster, Rainer Lienhart
2009 Multi-Camera Networks  
An important issue in designing sensor arrays is the appropriate placement of the visual sensors such that they achieve a predefined goal.  ...  In this paper we focus on the placement with respect to maximizing coverage or achieving coverage at a certain resolution.  ...  Problem Statement There are many problems that could be considered in the placement of multiple visual sensors. Here we focus on four problems. Variations can be tackled in a similar fashion.  ... 
doi:10.1016/b978-0-12-374633-7.00007-0 fatcat:fgxzgofctneklk3qpmtfa4c5e4

A Preliminary Study on Optimal Placement of Cameras [article]

Lin Xu
2019 arXiv   pre-print
This paper primarily focuses on figuring out the best array of cameras, or visual sensors, so that such a placement enables the maximum utilization of these visual sensors.  ...  To solve the problem, the coverage problem is first defined subject to the capabilities and limits of cameras. Then, poses of cameras are analyzed for the best arrangement.  ...  From the side view For analyzing from the side view, it is relatively more straightforward, since all visual sensors are located on the top of the space.  ... 
arXiv:1910.12053v1 fatcat:uqg762gnbvaslgvxqjjfqtdhxa

Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments [article]

Roshan Vijay, Jim Cherian, Rachid Riah, Niels de Boer, Apratim Choudhury
2021 arXiv   pre-print
Therefore these sensors must be placed strategically and optimally to yield maximum benefits in terms of the overall safety of road users.  ...  In this paper, we propose a novel methodology towards obtaining an optimal placement of V2X (Vehicle-to-everything) infrastructure sensors, which is particularly attractive to urban AV deployments, with  ...  : in Section II we briefly review the state of the art on sensor placement, coverage calculation and optimization methods.  ... 
arXiv:2110.01251v1 fatcat:czqhy7cdwbd5dclvpdvcbhwygi

WSN Nodes Placement Optimization Based on a Weighted Centroid Artificial Fish Swarm Algorithm

Hong Yin, Ying Zhang, Xu He
2018 Algorithms  
Optimal sensor placement is realized by minimizing the maximum off-diagonal elements of the modal assurance criterion as the objective function.  ...  Five typical test functions are applied to verify the effectiveness of the algorithm, and optimal placement of WSNs nodes on wind turbine blade is carried out.  ...  There are better optimization effects when optimizing the sensor placement of the blade.  ... 
doi:10.3390/a11100147 fatcat:clxqcpcwrjhqhhpa267b6opcbi

Coverage optimization to support security monitoring

Alan T. Murray, Kamyoung Kim, James W. Davis, Raghu Machiraju, Richard Parent
2007 Computers, Environment and Urban Systems  
The approach is applied in the context of video sensor placement in an urban area, illustrating the various tradeoffs that can be identified using optimization-based techniques.  ...  The placement of sensors to support security monitoring is obviously critical as it will directly impact the efficacy of allocated resources and system performance.  ...  The authors would like to thank the referees for their helpful comments.  ... 
doi:10.1016/j.compenvurbsys.2006.06.002 fatcat:kycptldfl5azpcctolwej77ua4

Approximating Optimal Visual Sensor Placement

E. Horster, R. Lienhart
2006 2006 IEEE International Conference on Multimedia and Expo  
Many novel multimedia applications use visual sensor arrays. In this paper we address the problem of optimally placing multiple visual sensors in a given space.  ...  Simultaneously it determines the optimal positions and poses of the visual sensors.  ...  Currently designers of multi-camera systems place cameras by hand as there exists no theoretical research on planning visual sensor placement.  ... 
doi:10.1109/icme.2006.262766 dblp:conf/icmcs/HorsterL06 fatcat:tmzrb7f3qnapdg4vfm76nhkkji

Design Analysis of a High-Resolution Panoramic Camera Using Conventional Imagers and a Mirror Pyramid

Hong Hua, Narendra Ahuja, Chunyu Gao
2007 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Using a dual mirror pyramid (DMP) panoramic camera as an example, in this paper, we examine how the pyramid geometry, and the selection and placement of imager clusters can be optimized to maximize the  ...  overall panoramic FOV, sensor utilization efficiency, and image uniformity.  ...  They depend on the FOV of each imager, the pyramid geometry, and imager placement.  ... 
doi:10.1109/tpami.2007.33 pmid:17170487 fatcat:wurrx4zf5vfyjjde6o3rab4kby

Optimal IDS Sensor Placement and Alert Prioritization Using Attack Graphs

Steven Noel, Sushil Jajodia
2008 Journal of Network and Systems Management  
The sensor-placement problem we pose is an instance of the NP-hard minimal set cover problem. We solve this problem through an efficient greedy algorithm, which works well in practice.  ...  We then place IDS sensors to cover the attack graph, using the fewest number of sensors.  ...  In Section 5, we describe our method for optimal placement of IDS sensors, which covers all network attack paths using the minimum number of sensors.  ... 
doi:10.1007/s10922-008-9109-x fatcat:zhktqu4xhjc7ffoy5ai24ruzbi

Visually Guided Cooperative Robot Actions Based on Information Quality

Vivek A. Sujan, Steven Dubowsky
2005 Autonomous Robots  
The algorithm uses the measured scene information to find the next camera position based on expected new information content of that pose.  ...  The algorithm is applicable for both an individual agent as well as multiple cooperating agents.  ...  Acknowledgments The authors would like to acknowledge the support of the Jet Propulsion Laboratory, NASA in this  ... 
doi:10.1007/s10514-005-6013-2 fatcat:4htwsmfffnfvje22vaiqqex6qq

Robust Placement of Water Quality Sensor for Long-Distance Water Transfer Projects Based on Multi-Objective Optimization and Uncertainty Analysis

Yu Li, Jinggang Chu, Guozhen Wei, Sifan Jin, Tiantian Yang, Bo Li
2021 Sustainability  
contaminant incident consisting of contaminant intrusion location, time and mass, was established to obtain optimal placement of water quality sensor with better robustness in this paper.  ...  Under the constraints of the allowable maximum missing detection rate, 1.00%, and detection time, 120.00 min, the detecting precision of 0.20 mg/L and 38 sensors placed could be selected as the optimal  ...  The funders had no role in the design of the study; in the collection, analyses and interpretation of data; in the writing of the manuscript; in the decision to publish the results.  ... 
doi:10.3390/su13041834 fatcat:fkbprysnm5delpaldk4nqkxv2u

On optimizing sensor placement for spatio-temporal temperature estimation in large battery packs

Philipp Wolf, Scott Moura, Miroslav Krstic
2012 2012 IEEE 51st IEEE Conference on Decision and Control (CDC)  
The process of optimizing the number and location of sensors involves two steps: First, a binary optimization minimizes the number of sensors.  ...  This paper optimizes the number of sensors and their locations for estimating the 2-D spatio-temporal temperature dynamics in large battery packs.  ...  Figure 2 provides a sample visualization of S x for two sensors in the x subdomain. This problem is riddled with multiple local optima.  ... 
doi:10.1109/cdc.2012.6426191 dblp:conf/cdc/WolfMK12 fatcat:5mdnn5izp5adhpubjggqgv5dbq

Artificial Fish Swarm Algorithm Based Optimal Sensor Placement

Zhen-rui Peng, Yu Zhao, Hong Yin, An Pan
2015 International Journal of Control and Automation  
In order to gain more information reflecting bridge health status, with fewer sensors, a method based on artificial fish swarm algorithm (AFSA) is proposed to solve optimal sensor placement (OSP) problem  ...  The results show that AFSA is more effective than the particle swarm optimization (PSO) method, in achieving optimal sensor placement.  ...  How to place sensors reasonably has become one of the most importantly problems, which is known as optimal sensor placement (OSP).  ... 
doi:10.14257/ijca.2015.8.4.28 fatcat:dsuydahbprd7zptavpqtvo3l5q

Active vision in robotic systems: A survey of recent developments

Shengyong Chen, Youfu Li, Ngai Ming Kwok
2011 The international journal of robotics research  
The aim of sensor planning is to determine the pose and settings of vision sensors for undertaking a vision-based task that usually requires obtaining multiple views of the object to be manipulated.  ...  Among the many factors that can be attributed to a high-performance robotic system, the planned sensing or acquisition of perceptions on the operating environment is a crucial component.  ...  Hodge and Kamel presented an automated system for multiple sensor placement based on the coordinated decisions of independent, intelligent agents.  ... 
doi:10.1177/0278364911410755 fatcat:pdpxmt4a5nhdvdojcsassxox6i

Multi-objective optimization for conjunctive placement of hydraulic and water quality sensors in water distribution systems

Ami Preis, Andrew Whittle, Avi Ostfeld
2011 Water Science and Technology : Water Supply  
The proposed method provides a new tool for sensor placements.  ...  In this study a multi-objective sensor network placement model for conjunctive monitoring of hydraulic and water quality data is developed and demonstrated using the multi-objective non-dominated sorted  ...  ACKNOWLEDGEMENT This work has been supported by the National Research Foundation of Singapore (NRF) and the Singapore -MIT Alliance for Research and Technology (SMART) through the Center for Environmental  ... 
doi:10.2166/ws.2011.029 fatcat:ofnlchk4y5fddbmhmuem4j76ky
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