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2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)最新文献

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Ballistic Object Trajectory and Launch Point Estimation from Radar Measurements using Long-Short Term Memory Networks 利用长短期记忆网络从雷达测量中估计弹道目标轨迹和发射点
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/RITAPP.2019.8932820
Juhyung Kim, Ming Chong Lim, Soon-Seo Park, Iksoo Kim, Han-Lim Choi
{"title":"Ballistic Object Trajectory and Launch Point Estimation from Radar Measurements using Long-Short Term Memory Networks","authors":"Juhyung Kim, Ming Chong Lim, Soon-Seo Park, Iksoo Kim, Han-Lim Choi","doi":"10.1109/RITAPP.2019.8932820","DOIUrl":"https://doi.org/10.1109/RITAPP.2019.8932820","url":null,"abstract":"In this paper, we consider the problem of estimating the trajectory of the ballistic object, especially the ballistic missiles, and its launch point based on radar measurements using promising deep learning technique-the Long-Short Term Memory(LSTM) Network. The conventional way of estimating the trajectories are solely based on the dynamic model of a missile to the Filter(KF). the implement Kalman However, since dynamics of missile change over the flight phases(boost, ballistic, reentry phase) and the flight phase of the missile would be difficult to differentiate using only radar observations, here we suggest a model-free method that utilizes the LSTM for the estimation. By implementing the suggested method, we can accurately estimate the trajectories and launch points of ballistic missiles only using the radar measurement without any consideration of the dynamics and parameters of the missile flight system.","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123021249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Recognition of Personality Traits using Word Vector from Reflective Context 利用反思性语境中的词向量识别人格特征
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/RITAPP.2019.8932840
Hyeonuk Bhin, Yoonseob Lim, Jong-suk Choi
{"title":"Recognition of Personality Traits using Word Vector from Reflective Context","authors":"Hyeonuk Bhin, Yoonseob Lim, Jong-suk Choi","doi":"10.1109/RITAPP.2019.8932840","DOIUrl":"https://doi.org/10.1109/RITAPP.2019.8932840","url":null,"abstract":"Predicting personality is meaningful for many social applications that target humans. In this work we proposed a way to model the user's personality with a small number of contexts based on personal SNS post data. We compared and analyzed various combination of word vector and classifier to optimize performance. We find that our model achieves f1-scores 0.72 and 0.74 in unimodal and multimodal case respectively for Big-5 personality traits. We are planning to develop a real time personality recognizer that operates with utterance in the human-robot interaction situation.","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130343074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Preliminary Results on 2-D Simultaneous Localization and Mapping for Aerial Robots in Dynamics Environments 动态环境下航空机器人二维同步定位与制图的初步结果
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/RITAPP.2019.8932884
Manuel Simas, Bruno J. Guerreiro, P. Batista
{"title":"Preliminary Results on 2-D Simultaneous Localization and Mapping for Aerial Robots in Dynamics Environments","authors":"Manuel Simas, Bruno J. Guerreiro, P. Batista","doi":"10.1109/RITAPP.2019.8932884","DOIUrl":"https://doi.org/10.1109/RITAPP.2019.8932884","url":null,"abstract":"This paper presents the design and validation of an Extend Kalman Filter (EKF) for Simultaneous Localization and Mapping with Moving Objects Tracking (SLAMMOT) with application to unmanned aerial vehicles (UAVs) in uncertain and dynamic environments. The proposed solution includes the tracking of Moving Objects (MO) using the Multiple Hypothesis Tracking (MHT) method, as well as the identification of the motion models of the environment’s objects applying the Interacting Multiple Model (IMM) algorithm. The consistency and performance of the devised SLAMMOT filter is successfully confirmed with simulation results.","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132903930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A deep learning approach for early wildfire detection from hyperspectral satellite images 从高光谱卫星图像中探测早期野火的深度学习方法
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/RITAPP.2019.8932740
Nguyen Thanh Toan, Thanh Cong Phan, Nguyen Quoc Viet Hung, Jun Jo
{"title":"A deep learning approach for early wildfire detection from hyperspectral satellite images","authors":"Nguyen Thanh Toan, Thanh Cong Phan, Nguyen Quoc Viet Hung, Jun Jo","doi":"10.1109/RITAPP.2019.8932740","DOIUrl":"https://doi.org/10.1109/RITAPP.2019.8932740","url":null,"abstract":"Wildfires are getting more severe and destructive. Due to their fast-spreading nature, wildfires are often detected when already beyond control and consequently cause billion-scale effects in a very short time. Governments are looking for remote sensing methods for early wildfire detection, avoiding billion-dollar losses of damaged properties. The aim of this study was to develop an autonomous and intelligent system built on top of imagery data streams, which is available from around-the-clock satellites, to monitor and prevent fire hazards from becoming disasters. However, satellite data pose unique challenges for image processing techniques, including temporal dependencies across time steps, the complexity of spectral chan-nels, and adversarial conditions such as cloud and illumination. In this paper, we propose a novel wildfire detection method that utilises satellite images in an advanced deep learning architecture for locating wildfires at pixel level. The detection outputs are further visualised in an interactive dashboard that allows wildfire mitigation specialists to deeply analyse regions of interest in the world-map. Our system is built and tested on the Geostationary Operational Environmental Satellites (GOES-16) streaming data source. Empirical evaluations show the superiorperformance of our approach over the baselines with 94% F1- score and 1.5 times faster detections as well as its robustness against different types of wildfires and adversarial conditions.","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126714388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
Design of a RLS-Based Real-Time State Observer for Estimating Joint Accelerations and Inertias of a Robot Manipulator 基于rls的机器人关节加速度和惯量实时状态观测器的设计
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/RITAPP.2019.8932860
Sangdeok Lee, Seul Jung
{"title":"Design of a RLS-Based Real-Time State Observer for Estimating Joint Accelerations and Inertias of a Robot Manipulator","authors":"Sangdeok Lee, Seul Jung","doi":"10.1109/RITAPP.2019.8932860","DOIUrl":"https://doi.org/10.1109/RITAPP.2019.8932860","url":null,"abstract":"In this paper, a RLS-based real-time state observer for a robot manipulator is designed. The availability of both the inertial mass and acceleration information in real time provides control efficiency to design robust control methods such as time-delayed control. Since it is difficult to model the inertia and to measure the acceleration accurately, an RLS-based joint model observer (RLS-SOB) is designed to estimate the inertial mass of each joint as well as angular acceleration in real time as the configuration of 2nd order linear model. The proposed method is empirically verified for a robot manipulator.","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133418754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Expression Tracking with OpenCV Deep Learning for a Development of Emotionally Aware Chatbots 使用OpenCV深度学习进行表情跟踪，开发情感感知聊天机器人
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/RITAPP.2019.8932852
K. A. R. Carranza, Joshua Manalili, N. Bugtai, R. Baldovino
{"title":"Expression Tracking with OpenCV Deep Learning for a Development of Emotionally Aware Chatbots","authors":"K. A. R. Carranza, Joshua Manalili, N. Bugtai, R. Baldovino","doi":"10.1109/RITAPP.2019.8932852","DOIUrl":"https://doi.org/10.1109/RITAPP.2019.8932852","url":null,"abstract":"Affective computing explores the development of systems and devices that can perceive, translate, process, and reproduce human emotion. It is an interdisciplinary field which includes computer science, psychology and cognitive science. An inspiration for the research is the ability to simulate empathy when communicating with computers or in the future robots. This paper explored the potential of facial expression tracking with deep learning to make chatbots more emotionally aware through developing a post-therapy session survey chatbot which responds depending on two inputs, interactant’s response and facial expression. The developed chatbot summarizes emotional state of the user during the survey through percentages of the tracked facial expressions throughout the conversation with the chatbot. Facial expression tracking for happy, neutral, and hurt had 66.7%, 16.7%, and 56.7% tracking accuracy, respectively. Moreover, the developed program was tested to track expressions simultaneously per second. It can track 17 expressions with stationary subject and 14 expressions with non-stationary subject in a span of 30 seconds.","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116455057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
RiTA 2019 Author Index RiTA 2019作者索引
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/ritapp.2019.8932945
O. Oluseyi, Carranza, Gallagher
{"title":"RiTA 2019 Author Index","authors":"O. Oluseyi, Carranza, Gallagher","doi":"10.1109/ritapp.2019.8932945","DOIUrl":"https://doi.org/10.1109/ritapp.2019.8932945","url":null,"abstract":"","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Working Vacation Scheduling of MX/M/1/N System using Neural Network 基于神经网络的MX/M/1/N系统工作假期调度
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/RITAPP.2019.8932783
Yongbee Park, Taesup Moon
{"title":"Working Vacation Scheduling of MX/M/1/N System using Neural Network","authors":"Yongbee Park, Taesup Moon","doi":"10.1109/RITAPP.2019.8932783","DOIUrl":"https://doi.org/10.1109/RITAPP.2019.8932783","url":null,"abstract":"Optimal scheduling of working vacation (WV) in queueing system is complex because of the stochasticity of arrival-service process. In this study, we suggest a neural network based scheduling (NNS) model because the neural network has the capability of handling the complexity of the system. We focus on the MX/M/1/N system where X is a random variable and the vacation time is dependent on the operation time. The neural network is used to estimate the performance of each action, and the scheduling rule is made from this estimation. Since the target of neural network to train is not obtainable, we contrived a mathematical model to feed the neural network with target. The experimental results show that estimated value from neural network follows the trend of true value, and the performance of NNS was shown to outperform a common exhaustive vacation (EV) scheduling baseline in most cases. We also identified the settings in which we can expect our NNS to achieve high performance.","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127814014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
RiTA 2019 Technical Program Details RiTA 2019技术计划细节
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/ritapp.2019.8932765
Y. Yang
{"title":"RiTA 2019 Technical Program Details","authors":"Y. Yang","doi":"10.1109/ritapp.2019.8932765","DOIUrl":"https://doi.org/10.1109/ritapp.2019.8932765","url":null,"abstract":"","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122422002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multi-storey Garage Smart Parking System based on Image Processing 基于图像处理的多层车库智能停车系统
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Pub Date : 2019-11-01 DOI: 10.1109/RITAPP.2019.8932899
Chyn Ira C. Crisostomo, Royce Val C. Malalis, Romel S. Saysay, R. Baldovino
{"title":"A Multi-storey Garage Smart Parking System based on Image Processing","authors":"Chyn Ira C. Crisostomo, Royce Val C. Malalis, Romel S. Saysay, R. Baldovino","doi":"10.1109/RITAPP.2019.8932899","DOIUrl":"https://doi.org/10.1109/RITAPP.2019.8932899","url":null,"abstract":"In this study, an image-processing based smart parking system was developed for multi-storey parking garages. Car drivers spend a considerably long amount of time finding an available parking space where slots are spread throughout multiple storeys which causes longer queues and traffic congestion. The proposed system design through the Python IDLE and the OpenCV library makes use of the combined edge detection and coordinate bound pixel sections in determining whether a parking space in the acquired footage is occupied or not. For the testing of the accuracy and reliability of the parking space identification system, sample footages of actual indoor parking garages were used. With this study, real time image processing and updating of the parking slot availability offers an increased efficiency to the parking system and lower cost than installing individual car sensors in each parking space.","PeriodicalId":234023,"journal":{"name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132386678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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