Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954095
Bagaskara Primastya Putra, A. Cahyadi, I. Ardiyanto
Previous studies have shown that quadrotor inertial navigation with aiding from a vehicle dynamic model (VDM) can be applied for short periods of flight without global navigation satellite system (GNSS) measurements. However, quadrotor inertial navigation flight experiments were performed without conducting the observability analysis which is necessary to guarantee state convergence. To investigate the claims of these studies, we conducted a nonlinear observability analysis on the recent quadrotor VDM. The analysis shows that the position of the quadrotor is unobservable, but the velocity is still observable. This analysis confirms the experimental results from previous studies that VDM-aided quadrotor inertial navigation is only applicable for short periods of GNSS-denied flight. However, a further analysis gives an interesting finding that the VDM parameters are observable provided only an inertial measurement unit (IMU) sensor. In theory, online estimation of the VDM parameters are still possible and may improve the performance of VDM-aided quadrotor inertial navigation.
{"title":"Quadrotor Inertial Navigation Aided by Vehicle Dynamic Model: A Nonlinear Observability Analysis","authors":"Bagaskara Primastya Putra, A. Cahyadi, I. Ardiyanto","doi":"10.1109/ICITEE56407.2022.9954095","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954095","url":null,"abstract":"Previous studies have shown that quadrotor inertial navigation with aiding from a vehicle dynamic model (VDM) can be applied for short periods of flight without global navigation satellite system (GNSS) measurements. However, quadrotor inertial navigation flight experiments were performed without conducting the observability analysis which is necessary to guarantee state convergence. To investigate the claims of these studies, we conducted a nonlinear observability analysis on the recent quadrotor VDM. The analysis shows that the position of the quadrotor is unobservable, but the velocity is still observable. This analysis confirms the experimental results from previous studies that VDM-aided quadrotor inertial navigation is only applicable for short periods of GNSS-denied flight. However, a further analysis gives an interesting finding that the VDM parameters are observable provided only an inertial measurement unit (IMU) sensor. In theory, online estimation of the VDM parameters are still possible and may improve the performance of VDM-aided quadrotor inertial navigation.","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129557162","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}
Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954046
Aditia Yuliyanto, R. Sigit, B. S. B. Dewantara, I. Azhar
The spread of Covid-19 virus occurs quickly, one of which is through sneezing and coughing (drops or saliva). This becomes an infectious material for dentists in carrying out dental care during the pandemic. Extra-oral suction (EOS) is a device for sucking the patient's Aerosol when performing surgery or dental treatment, but the nozzle of the suction device is still manually moved, therefore the position of the EOS nozzle is right above the patient's mouth. This allows for some aerosol particles that have not been inhaled by the device when the patient turns or changes his head position. In this paper, Visual Servoing (VS) is needed, which is an approach to guide a robot using visual information. Image processing (face and mouth detection), and controls are combined to be able to move or change the position of the nozzle automatically according to the position and direction of the patient's mouth. The human face and mouth openness pose detection can be done using the Haar-cascade method and the Adaptive Boosting (AdaBoost) algorithm. This system is expected to optimize performance in dentist operations and minimize the transmission of the Covid-19 virus.
{"title":"Face And Mouth Openness Detection on Visual Servoing Robot Using Haar-cascade and Adaptive Boosting","authors":"Aditia Yuliyanto, R. Sigit, B. S. B. Dewantara, I. Azhar","doi":"10.1109/ICITEE56407.2022.9954046","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954046","url":null,"abstract":"The spread of Covid-19 virus occurs quickly, one of which is through sneezing and coughing (drops or saliva). This becomes an infectious material for dentists in carrying out dental care during the pandemic. Extra-oral suction (EOS) is a device for sucking the patient's Aerosol when performing surgery or dental treatment, but the nozzle of the suction device is still manually moved, therefore the position of the EOS nozzle is right above the patient's mouth. This allows for some aerosol particles that have not been inhaled by the device when the patient turns or changes his head position. In this paper, Visual Servoing (VS) is needed, which is an approach to guide a robot using visual information. Image processing (face and mouth detection), and controls are combined to be able to move or change the position of the nozzle automatically according to the position and direction of the patient's mouth. The human face and mouth openness pose detection can be done using the Haar-cascade method and the Adaptive Boosting (AdaBoost) algorithm. This system is expected to optimize performance in dentist operations and minimize the transmission of the Covid-19 virus.","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128564690","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}
Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954082
N. Rahayu, Aridhanyati Arifin, R. Ferdiana, S. Kusumawardani
The ontology model can help students “own” their learning process by giving them personalized feedback from formative assessments. However, there is no comprehensive ontology model of the necessary data. Therefore, this study aims to construct an ontology model of formative assessment using heutagogy approach. The first part of the research is a review of nine review articles, which is followed by design research. Formative assessments of the heutagogy approach are traditional (objective and essay tests) and outcome-based (such as developmental portfolios, the analytic rubric, and the perception rubric). Both assessments could provide personalized feedback, but they differ in response start, learning domain, speed of assessment results, focus, and execution time. Using a heutagogy approach, the design research results in an ontology schema, which is made up of learning resources and formative assessments. Our ontology model is the basis for the personalized feedback of an ontology-based recommender system. Moreover, this model can be used with other recommendation techniques.
{"title":"An Ontology Model for Formative Assessments","authors":"N. Rahayu, Aridhanyati Arifin, R. Ferdiana, S. Kusumawardani","doi":"10.1109/ICITEE56407.2022.9954082","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954082","url":null,"abstract":"The ontology model can help students “own” their learning process by giving them personalized feedback from formative assessments. However, there is no comprehensive ontology model of the necessary data. Therefore, this study aims to construct an ontology model of formative assessment using heutagogy approach. The first part of the research is a review of nine review articles, which is followed by design research. Formative assessments of the heutagogy approach are traditional (objective and essay tests) and outcome-based (such as developmental portfolios, the analytic rubric, and the perception rubric). Both assessments could provide personalized feedback, but they differ in response start, learning domain, speed of assessment results, focus, and execution time. Using a heutagogy approach, the design research results in an ontology schema, which is made up of learning resources and formative assessments. Our ontology model is the basis for the personalized feedback of an ontology-based recommender system. Moreover, this model can be used with other recommendation techniques.","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116185071","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}
Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954112
T. Kaewkiriya, K. Woraratpanya
To overcome the uncontrolled quality output problem of data augmentation, many data generation frameworks have been proposed recently. The main concept of the data generation is for ensuring the quality of the output samples which maintain the original characteristics and highly provide the diversity of data. The benefit of this concept is improving the performance of deep learning tasks that suffer from the lack of available training samples, such as anomaly classification. Recently, 3D variational autoencoder for extremely rare case signal generation (3DVAE-ERSG) was introduced. This framework achieves the best synthesis samples for multi-class classification deep learning training. However, it is not so well applicable to sequential data. Therefore, this paper proposed a 3DVAE-LSTM framework. The new framework was replaced a VAE’s feed-forward neural network with a long short-term memory (LSTM) neural network that works well with time-series signals. The experimental results show that the classification models trained with data generated by 3DVAE-LSTM have better performance than 3DVAE-ERSG in every aspect.
{"title":"3DVAE-LSTM for Extremely Rare Anomaly Signal Generation","authors":"T. Kaewkiriya, K. Woraratpanya","doi":"10.1109/ICITEE56407.2022.9954112","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954112","url":null,"abstract":"To overcome the uncontrolled quality output problem of data augmentation, many data generation frameworks have been proposed recently. The main concept of the data generation is for ensuring the quality of the output samples which maintain the original characteristics and highly provide the diversity of data. The benefit of this concept is improving the performance of deep learning tasks that suffer from the lack of available training samples, such as anomaly classification. Recently, 3D variational autoencoder for extremely rare case signal generation (3DVAE-ERSG) was introduced. This framework achieves the best synthesis samples for multi-class classification deep learning training. However, it is not so well applicable to sequential data. Therefore, this paper proposed a 3DVAE-LSTM framework. The new framework was replaced a VAE’s feed-forward neural network with a long short-term memory (LSTM) neural network that works well with time-series signals. The experimental results show that the classification models trained with data generated by 3DVAE-LSTM have better performance than 3DVAE-ERSG in every aspect.","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121654373","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}
Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954114
Stanislaus Hans RyanDita, S. Riyadi, F. B. Setiawan
Switched Reluctance Machine (SRM) is an electric drive that is often used in electric vehicles. In electric vehicles, regenerative braking is needed to minimize the energy wasted on conventional braking so that the wasted energy can be used for battery charging. Regenerative braking on SRM utilizes negative torque on the rotor when it moves away from the stator winding, so an appropriate control method is needed to get the optimum value of regenerative braking. The single-pulse method and the PWM control method are regenerative braking methods on SRM that are commonly used. The PWM control operation method includes magnetizing-freewheeling and magnetizing-demagnetizing modes. The single-pulse method is a method that gives one pulse at the time of excitation, then the PWM control method is a method that is carried out by providing a PWM signal during excitation. These two methods have very different characteristics. In this paper, we will present the results of a comparative trial between the two single pulse and PWM control methods at different speed variations, namely when the RPM is 1200, 1500, and 1800 to determine the efficiency of using regenerative braking on the SRM.
{"title":"Implementation and Comparison Study of Single-Pulse and PWM control Method to Increase Regenerative Braking Efficiency for SRM","authors":"Stanislaus Hans RyanDita, S. Riyadi, F. B. Setiawan","doi":"10.1109/ICITEE56407.2022.9954114","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954114","url":null,"abstract":"Switched Reluctance Machine (SRM) is an electric drive that is often used in electric vehicles. In electric vehicles, regenerative braking is needed to minimize the energy wasted on conventional braking so that the wasted energy can be used for battery charging. Regenerative braking on SRM utilizes negative torque on the rotor when it moves away from the stator winding, so an appropriate control method is needed to get the optimum value of regenerative braking. The single-pulse method and the PWM control method are regenerative braking methods on SRM that are commonly used. The PWM control operation method includes magnetizing-freewheeling and magnetizing-demagnetizing modes. The single-pulse method is a method that gives one pulse at the time of excitation, then the PWM control method is a method that is carried out by providing a PWM signal during excitation. These two methods have very different characteristics. In this paper, we will present the results of a comparative trial between the two single pulse and PWM control methods at different speed variations, namely when the RPM is 1200, 1500, and 1800 to determine the efficiency of using regenerative braking on the SRM.","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128020745","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}
Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954075
Nurul Hidayat, Faizal Arya Samman, R. Sadjad
This paper presents the design of digital control based on FPGA to control the speed of a brushless direct current (BLDC) motor. The control algorithm applies trapezoid control or six-step commutation and unipolar independent PWM switching the commutation itself depends on three built-in hall effect sensors. This method is implemented on FPGA using a state machine model. Besides the speed control algorithm, this paper also presents an algorithm to calculate the speed of the BLDC motor. The speed calculation builds up with a counter to count the electric cycles for one second then the result is stored in the register and lookup table to convert the electric cycles data into revolutions per minute (rpm) data. The speed control and speed calculation are written using Verilog hardware description language (HDL) and verified through simulation using ModelSim the code is implemented on the FPGA DEO-nano EP4CE22 board. Motor control testing was carried out on a 350-watt 36 v BLDC motor with a three-phase inverter as the driver. The results are that the BLDC motor can rotate at maximum speed without and with a load of 3 kg, namely 699 RPM and 668 RPM respectively, for rotating clockwise and counterclockwise
{"title":"FPGA Based Controller of BLDC Motor Using Trapezoid Control","authors":"Nurul Hidayat, Faizal Arya Samman, R. Sadjad","doi":"10.1109/ICITEE56407.2022.9954075","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954075","url":null,"abstract":"This paper presents the design of digital control based on FPGA to control the speed of a brushless direct current (BLDC) motor. The control algorithm applies trapezoid control or six-step commutation and unipolar independent PWM switching the commutation itself depends on three built-in hall effect sensors. This method is implemented on FPGA using a state machine model. Besides the speed control algorithm, this paper also presents an algorithm to calculate the speed of the BLDC motor. The speed calculation builds up with a counter to count the electric cycles for one second then the result is stored in the register and lookup table to convert the electric cycles data into revolutions per minute (rpm) data. The speed control and speed calculation are written using Verilog hardware description language (HDL) and verified through simulation using ModelSim the code is implemented on the FPGA DEO-nano EP4CE22 board. Motor control testing was carried out on a 350-watt 36 v BLDC motor with a three-phase inverter as the driver. The results are that the BLDC motor can rotate at maximum speed without and with a load of 3 kg, namely 699 RPM and 668 RPM respectively, for rotating clockwise and counterclockwise","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121023214","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}
Pub Date : 2022-10-18DOI: 10.1109/icitee56407.2022.9954074
{"title":"ICITEE 2022 Cover Page","authors":"","doi":"10.1109/icitee56407.2022.9954074","DOIUrl":"https://doi.org/10.1109/icitee56407.2022.9954074","url":null,"abstract":"","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117143962","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}
Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954102
Angga Priyatmoko, I. Ardiyanto, A. Cahyadi
Today, many industries have started using wheeled robots to transport raw materials because of their mobility. Usually, the robot's movement is only from one place to another and repeatedly occurs in the same place. A waypoint is a control point where the robot must move towards a predetermined destination. Industry highly considers Efficiency and Productivity to reduce losses and increase profits. Therefore, the robot's movement also needs to be improved to increase the production line's productivity. In the current work, a control strategy was developed to make the robot move linearly and angularly simultaneously to reduce travel time compared to the usual movement method. Furthermore, this control strategy is simulated and implemented on the Omni Mobile Robot with Mecanum Wheel (OMRMW) prototype. The results indicate that the proposed control strategy can shorten the robot movement time by up to 10.797 seconds.
{"title":"Dynamic Odometry for Waypoint Tracking of Omnidirectional Mecanum Wheeled Mobile Robot for Efficient Movement","authors":"Angga Priyatmoko, I. Ardiyanto, A. Cahyadi","doi":"10.1109/ICITEE56407.2022.9954102","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954102","url":null,"abstract":"Today, many industries have started using wheeled robots to transport raw materials because of their mobility. Usually, the robot's movement is only from one place to another and repeatedly occurs in the same place. A waypoint is a control point where the robot must move towards a predetermined destination. Industry highly considers Efficiency and Productivity to reduce losses and increase profits. Therefore, the robot's movement also needs to be improved to increase the production line's productivity. In the current work, a control strategy was developed to make the robot move linearly and angularly simultaneously to reduce travel time compared to the usual movement method. Furthermore, this control strategy is simulated and implemented on the Omni Mobile Robot with Mecanum Wheel (OMRMW) prototype. The results indicate that the proposed control strategy can shorten the robot movement time by up to 10.797 seconds.","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129268218","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}
Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954113
Fransiscus Xaverius Rivos Santoso, S. Riyadi, L. Pratomo
Switched Reluctance Machines (SRM) is one of the machines that are used for electric vehicles due to its several benefits, including a simple structure without winding installation on the rotor and without the use of permanent magnets. Energies during conventional braking are wasted into heat, so regenerative braking is used to reduce wasted energy when braking. There are several methods for regenerative braking for SRM, but a method is needed to increase braking efficiency for low speeds. The regenerative braking method using PWM magnetizing-demagnetizing with duty cycle settings is proposed in this paper. With precise excitation to the SRM stator winding and proper duty cycle setting for magnetizing-demagnetizing method, an optimum regenerative braking can be obtained. This method can optimize the braking speed and charging current to the battery even at a low speed. Experimental work has been done to demonstrate the impact of changing the duty cycle on regenerative braking.
{"title":"Implementation of Optimum Switched Reluctance Machine Regenerative Braking Using Magnetizing-Demagnetizing Control with Duty Cycle Settings","authors":"Fransiscus Xaverius Rivos Santoso, S. Riyadi, L. Pratomo","doi":"10.1109/ICITEE56407.2022.9954113","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954113","url":null,"abstract":"Switched Reluctance Machines (SRM) is one of the machines that are used for electric vehicles due to its several benefits, including a simple structure without winding installation on the rotor and without the use of permanent magnets. Energies during conventional braking are wasted into heat, so regenerative braking is used to reduce wasted energy when braking. There are several methods for regenerative braking for SRM, but a method is needed to increase braking efficiency for low speeds. The regenerative braking method using PWM magnetizing-demagnetizing with duty cycle settings is proposed in this paper. With precise excitation to the SRM stator winding and proper duty cycle setting for magnetizing-demagnetizing method, an optimum regenerative braking can be obtained. This method can optimize the braking speed and charging current to the battery even at a low speed. Experimental work has been done to demonstrate the impact of changing the duty cycle on regenerative braking.","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115817978","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}
Pub Date : 2022-10-18DOI: 10.1109/ICITEE56407.2022.9954083
Tiem M. Nguyen, Huyen T. Dinh, T. Nguyen, Ha M. Le, Tao V. Chu, D. D. Lam
Modern surveillance systems require high accuracy in track initialization. However, data processing in dense clutter environments is always a challenging issue as the majority of the observations from radars are false. To solve this problem, we propose to use a method that combines the Hough transform technique with a multi-level filter system. This strategy took advantage of the advantages of the Hough Transform algorithm while overcoming its limits by utilizing the strength of the intuitive method via orbital information filters. This method has proven effective in the data initialization procedure, particularly in densely cluttered environments, it can perform track initialization fast while eliminating the appearance of false targets. We have conducted different experiments on the same data set with the same configuration parameters within 10 radar scans. We got 10 trajectories without any false targets using the multi-level filter system, Without it, we obtained 145 trajectories, of which 135 trajectories are false ones.
{"title":"An Automatic Track Initialization Based On Combining The Hough Transform Method And A Multi-level Filter","authors":"Tiem M. Nguyen, Huyen T. Dinh, T. Nguyen, Ha M. Le, Tao V. Chu, D. D. Lam","doi":"10.1109/ICITEE56407.2022.9954083","DOIUrl":"https://doi.org/10.1109/ICITEE56407.2022.9954083","url":null,"abstract":"Modern surveillance systems require high accuracy in track initialization. However, data processing in dense clutter environments is always a challenging issue as the majority of the observations from radars are false. To solve this problem, we propose to use a method that combines the Hough transform technique with a multi-level filter system. This strategy took advantage of the advantages of the Hough Transform algorithm while overcoming its limits by utilizing the strength of the intuitive method via orbital information filters. This method has proven effective in the data initialization procedure, particularly in densely cluttered environments, it can perform track initialization fast while eliminating the appearance of false targets. We have conducted different experiments on the same data set with the same configuration parameters within 10 radar scans. We got 10 trajectories without any false targets using the multi-level filter system, Without it, we obtained 145 trajectories, of which 135 trajectories are false ones.","PeriodicalId":246279,"journal":{"name":"2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129872522","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}
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