Mapping of linear road features with the inverse visual detector observation model

2021 ◽  
Vol 9 (3) ◽  
pp. 214-224
Author(s):  
Oleg Shipit’ko ◽  
Anatoly Kabakov
Keyword(s):  
Binary Classification ◽  
Autonomous Vehicle ◽  
Mapping Method ◽  
Observation Model ◽  
Spatial Error ◽  
Linear Features ◽  
Mapping Algorithm ◽  
Road Map ◽  
Filter Noise

The paper proposes an algorithm for mapping linear features detected on the roadway — road marking lines, curbs, road boundaries. The algorithm is based on a mapping method with an inverse observation model. An inverse observation model is proposed to take into account the spatial error of the linear feature visual detector. The influence of various parameters of the model on the resulting quality of mapping was studied. The mapping algorithm was tested on data recorded on an autonomous vehicle while driving at the test site. The quality of the mapping algorithm was assessed according to several quality metrics known from the literature. In addition, the mapping problem was considered as a binary classification problem, in which each map cell may or may not contain the desired feature, and the ROC curve and AUC-ROC metric were used to assess the quality. As a naive solution, a map was built containing all detected linear features without any additional filtering. For the map built on the basis of the raw data, the AUC-ROC was 0.75, and as a result of applying the algorithm, the value of 0.81 was reached. The experimental results have confirmed that the proposed algorithm can effectively filter noise and false-positive detections of the detector, which confirms the applicability of the proposed algorithm and the inverse observation model for solving practical problems. Key words Linear features, mapping, inverse observation model, road map, autonomous vehicle, digital road map.

scholarly journals IMPACT OF THE PHYSICAL ENVIRONMENT ON USER BEHAVIORS IN URBAN DISTRICT PARK

2020 ◽  
pp. 336-352
Author(s):  
Do Duy Thinh ◽  
Nguyen Van Xuan ◽  
Nguyen Ngoc Long Giang
Keyword(s):  
Public Space ◽  
Local Governments ◽  
Open Space ◽  
Mapping Method ◽  
Urban District ◽  
Open Spaces ◽  
Rapid Urbanization ◽  
User Behaviors ◽  
The Future

Urban open spaces (e.g. urban parks) play a pivotal role in improving the quality of life of city dwellers through accommodating various physical and social activities, while further creating social coherence for sustainable development. Due to the shortage of open green spaces in the city, caused by rapid urbanization in developing countries, some big, long-standing urban public spaces such as district parks have been retained, and improved to serve as the main public space for local people. However, such spaces commonly provide outdated, low quality facilities that discourage people from using the park. To satisfy users’ needs, local governments have launched campaigns to improve parks based on the ideas of domestic or foreign designers. The purpose of this research is to explore different behaviors of residents in an open space in Da Nang (Vietnam) which can support the future development and improvement of local open space in accordance with environmental behavior theory. User behaviors were identified and categorized based on their activities in the open space, collected using the place-centered behavior mapping method. Results of the statistical analysis revealed that this open space could be divided into three types, each of which had four dimensions: public facilities setting; openness; accessibility; and recreational facilities. The findings showed some aspects that need to be considered during the development process of open space as follows: 1) increasing the quantity and quality of public amenities; 2) separating accessible space and/or buffer space from already used space inside the park, particularly in the entrance zone; 3) providing space adjacent to the lake; and 4) removing obstacles (e.g. walls around the park) to give a clearer view from inside the park to the streets outside and vice versa. Also, the calculation model of evidence-based designs provides input data for re-planning or creating public space/parks to help designers, planners and authorities improve or design better open spaces in the future.

scholarly journals STRATEGI PENGEMBANGAN KELEMBAGAAN KOPERASI PERTANIAN BERBASIS JAGUNG DI PROVINSI GORONTALO

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Lukman M Baga
Keyword(s):  
Local Government ◽  
Product Quality ◽  
Swot Analysis ◽  
Life Quality ◽  
Social Institution ◽  
Sustainable Production ◽  
Small Scale ◽  
Road Map ◽  
Farmer Organization

success of an integrate agribusiness system of a commodity must be followed by the increase of farmers’ bargain position, especially the small scale agribusiness runs by farmers. Otherwise, farmer will continue to be marginalized, and sustainable production is hard to be achieved. Farmer organization in Indonesia is relatively has weak position and cannot improve farmers’ bargain position since it is still in social institution form (i.e. farmer group), and yet become a socio-economic institution (cooperative). In many countries, farmers’ cooperative not only improves the production, productivity and product quality, but also lead to increase in welfare and life quality of its members. This study specifically aimed to develop corn farmer co-operative in Gorontalo Province. SWOT analysis was being used to formulate the strategy, followed by strategy mapping in road-map as guidance for local government to develop corn farmer co-operative that suitable with its character.Keyword: agribusiness, corn, farmer group, farmer co-operative, Gorontalo.

Quality analysis for reliable complex multiclass neuroscience signal classification via electroencephalography

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashutosh Shankhdhar ◽  
Pawan Kumar Verma ◽  
Prateek Agrawal ◽  
Vishu Madaan ◽  
Charu Gupta
Keyword(s):  
Human Brain ◽  
Network Architecture ◽  
Neural Control ◽  
Human Life ◽  
Binary Classification ◽  
Sampling Rate ◽  
Quality Analysis ◽  
Eeg Signal ◽  
Content Type

PurposeThe aim of this paper is to explore the brain–computer interface (BCI) as a methodology for generating awareness and increasing reliable use cases of the same so that an individual's quality of life can be enhanced via neuroscience and neural networks, and risk evaluation of certain experiments of BCI can be conducted in a proactive manner.Design/methodology/approachThis paper puts forward an efficient approach for an existing BCI device, which can enhance the performance of an electroencephalography (EEG) signal classifier in a composite multiclass problem and investigates the effects of sampling rate on feature extraction and multiple channels on the accuracy of a complex multiclass EEG signal. A one-dimensional convolutional neural network architecture is used to further classify and improve the quality of the EEG signals, and other algorithms are applied to test their variability. The paper further also dwells upon the combination of internet of things multimedia technology to be integrated with a customized design BCI network based on a conventionally used system known as the message query telemetry transport.FindingsAt the end of our implementation stage, 98% accuracy was achieved in a binary classification problem of classifying digit and non-digit stimuli, and 36% accuracy was observed in the classification of signals resulting from stimuli of digits 0 to 9.Originality/valueBCI, also known as the neural-control interface, is a device that helps a user reliably interact with a computer using only his/her brain activity, which is measured usually via EEG. An EEG machine is a quality device used for observing the neural activity and electric signals generated in certain parts of the human brain, which in turn can help us in studying the different core components of the human brain and how it functions to improve the quality of human life in general.

Quality of Experience Factors for Mobile TV Users

2018 ◽  
pp. 473-496
Author(s):  
Dimitris N. Kanellopoulos
Keyword(s):  
Quality Of Experience ◽  
Mobile Tv ◽  
Road Map

This chapter helps the professionals involved in the Mobile TV industry to methodically engineer the Quality of Experience (QoE) of Mobile TV users. Its objective is to investigate the factors that influence the QoE of Mobile TV users. It also discusses the issues for strategic implications for the Mobile TV industry. We retrieved and categorized the majority of the critical works focusing on QoE for Mobile TV users. Then, we considered them and proposed a comprehensive road-map for improving the QoE of Mobile TV users. We present an approach to produce improvements to the Mobile TV customer experiences. This chapter proposes a seven-stage “road-map” to improvement, which develops the existing models. This study remains to be seen how the presented QoE factors– both amongst technologies and Mobile TV actors – will affect the potential for Mobile TV amongst various types of users. The proposed road-map can help to bridge gaps between other studies that have either focused on QoE for mobile TV or have addressed frameworks for mobile TV.

Survivable Virtual Optical Network Coordinated Mapping with Local Backup

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Danping Ren ◽  
Wei Wang ◽  
Jinhua Hu ◽  
Jijun Zhao
Keyword(s):  
Spanning Tree ◽  
Minimum Spanning Tree ◽  
Blocking Probability ◽  
Optical Network ◽  
Mapping Method ◽  
Resource Consumption ◽  
Node Degree ◽  
Network Resource ◽  
Mapping Algorithm ◽  
Degree Constraint

AbstractSurvivable virtual optical network (VON) mapping is researched to overcome the ossification of current network architectures. In this paper, we study the survivable VON mapping problem in elastic optical network (EON) with the objective of minimizing the average resource consumption of VON request. We propose a protective algorithm, namely, coordinated mapping algorithm based on minimum spanning tree (CMST), to provide the dedicated protection against the single physical link failure. In CMST, for virtual node mapping, we not only consider the resources constraint but also the node degree constraint. For virtual link mapping, we adopt the coordinated mapping method for part of the virtual nodes and virtual links. And we provide the backup path for the minimum spanning tree link of virtual topology to reduce the resource consumption. Simulation results showed that CMST can reduce the VON request blocking probability and average network resource consumption. And it can increase the revenue of physical network.

P-28: A Gamut Mapping Algorithm Based on Partition Mapping Method

2018 ◽  
Vol 49 (1) ◽  
pp. 1300-1303
Author(s):  
Yang Rao ◽  
Yiying Pu ◽  
Shen-Sian Syu ◽  
Ming-Jong Jou
Keyword(s):  
Mapping Method ◽  
Mapping Algorithm ◽  
Gamut Mapping

scholarly journals The Volatility Forecasting Power of Financial Network Analysis

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Nicolás S. Magner ◽  
Jaime F. Lavin ◽  
Mauricio A. Valle ◽  
Nicolás Hardy
Keyword(s):  
Spanning Tree ◽  
Predictive Power ◽  
Minimum Spanning Tree ◽  
Financial Networks ◽  
Order Effects ◽  
Structural Factors ◽  
Financial Variables ◽  
Road Map ◽  
Daily Returns

This investigation connects two crucial economic and financial fields, financial networks, and forecasting. From the financial network’s perspective, it is possible to enhance forecasting tools, since econometrics does not incorporate into standard economic models, second-order effects, nonlinearities, and systemic structural factors. Using daily returns from July 2001 to September 2019, we used minimum spanning tree and planar maximally filtered graph techniques to forecast the stock market realized volatility of 26 countries. We test the predictive power of our core models versus forecasting benchmarks models in and out of the sample. Our results show that the length of the minimum spanning tree is relevant to forecast volatility in European and Asian stock markets, improving forecasting models’ performance. As a new contribution, the evidence from this work establishes a road map to deepening the understanding of how financial networks can improve the quality of prediction of financial variables, being the latter, a crucial factor during financial shocks, where uncertainty and volatility skyrocket.

scholarly journals Environment Monitoring of Rose Crops Greenhouse Based on Autonomous Vehicles with a WSN and Data Analysis

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5905
Author(s):  
Paul D. Rosero-Montalvo ◽  
Vanessa C. Erazo-Chamorro ◽  
Vivian F. López-Batista ◽  
María N. Moreno-García ◽  
Diego H. Peluffo-Ordóñez
Keyword(s):  
Data Analysis ◽  
Environmental Conditions ◽  
Autonomous Vehicles ◽  
Intelligent System ◽  
Autonomous Vehicle ◽  
Classification Performance ◽  
Analysis Process ◽  
Cultivation Process

This work presents a monitoring system for the environmental conditions of rose flower-cultivation in greenhouses. Its main objective is to improve the quality of the crops while regulating the production time. To this end, a system consisting of autonomous quadruped vehicles connected with a wireless sensor network (WSN) is developed, which supports the decision-making on type of action to be carried out in a greenhouse to maintain the appropriate environmental conditions for rose cultivation. A data analysis process was carried out, aimed at designing an in-situ intelligent system able to make proper decisions regarding the cultivation process. This process involves stages for balancing data, prototype selection, and supervised classification. The proposed system produces a significant reduction of data in the training set obtained by the WSN while reaching a high classification performance in real conditions—amounting to 90% and 97.5%, respectively. As a remarkable outcome, it is also provided an approach to ensure correct planning and selection of routes for the autonomous vehicle through the global positioning system.

scholarly journals Deconstructing laws of accessibility and facility distribution in cities

2020 ◽  
Vol 6 (37) ◽  
pp. eabb4112
Author(s):  
Yanyan Xu ◽  
Luis E. Olmos ◽  
Sofiane Abbar ◽  
Marta C. González
Keyword(s):  
Functional Form ◽  
Population Distribution ◽  
Travel Distance ◽  
Urban Life ◽  
Travel Costs ◽  
Road Map ◽  
Quality Of Urban Life ◽  
To Come ◽  
The One

The era of the automobile has seriously degraded the quality of urban life through costly travel and visible environmental effects. A new urban planning paradigm must be at the heart of our road map for the years to come, the one where, within minutes, inhabitants can access their basic living needs by bike or by foot. In this work, we present novel insights of the interplay between the distributions of facilities and population that maximize accessibility over the existing road networks. Results in six cities reveal that travel costs could be reduced in half through redistributing facilities. In the optimal scenario, the average travel distance can be modeled as a functional form of the number of facilities and the population density. As an application of this finding, it is possible to estimate the number of facilities needed for reaching a desired average travel distance given the population distribution in a city.

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