Pub Date : 2019-11-01DOI: 10.1109/CACS47674.2019.9024742
Chia-Ling Chiang, M. Cheng, Ting-Yu Ye, Ya-Ling Chen, Pin-Hsuan Huang
Reinforcement Learning (RL) – a research branch of artificial intelligence – exploits the concept of reward/penalty from human learning so that the feedback information of the environment can be used for self-learning without previous knowledge. Although RL has been applied to many research fields, there are difficulties when implementing it in some real world applications. One difficulty is the tradeoff between exploration and exploitation for the agent of RL in choosing a proper action. An improper action may lead to a learning failure or an increase in learning cost. Another difficulty is that the learning agent of RL needs to interact with the environment to attain a real-time reward/penalty; however, the learning time spent in the interaction process may be too long. In order to overcome the aforementioned difficulties, this paper proposes an approach that employs a personalized recommendation system to provide a feedforward candidate action for RL to implement self-adaptive learning through teaching. A real visual tracking experiment using a pan-tilt camera system is conducted to assess the performance of the proposed approach. Experimental results show that the proposed personalized recommendation system-based approach is able to improve the effectiveness and practicality of RL.
{"title":"Convergence Improvement of Q-learning Based on a Personalized Recommendation System","authors":"Chia-Ling Chiang, M. Cheng, Ting-Yu Ye, Ya-Ling Chen, Pin-Hsuan Huang","doi":"10.1109/CACS47674.2019.9024742","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024742","url":null,"abstract":"Reinforcement Learning (RL) – a research branch of artificial intelligence – exploits the concept of reward/penalty from human learning so that the feedback information of the environment can be used for self-learning without previous knowledge. Although RL has been applied to many research fields, there are difficulties when implementing it in some real world applications. One difficulty is the tradeoff between exploration and exploitation for the agent of RL in choosing a proper action. An improper action may lead to a learning failure or an increase in learning cost. Another difficulty is that the learning agent of RL needs to interact with the environment to attain a real-time reward/penalty; however, the learning time spent in the interaction process may be too long. In order to overcome the aforementioned difficulties, this paper proposes an approach that employs a personalized recommendation system to provide a feedforward candidate action for RL to implement self-adaptive learning through teaching. A real visual tracking experiment using a pan-tilt camera system is conducted to assess the performance of the proposed approach. Experimental results show that the proposed personalized recommendation system-based approach is able to improve the effectiveness and practicality of RL.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"3 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":"127646155","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 : 2019-11-01DOI: 10.1109/CACS47674.2019.9024363
Makoto Komizo, Kota Mukai, N. Hara, Y. Nihei, K. Konishi
This paper considers a motion control system for a quad-maran unmanned vessel, which is aiming for automatic sea environmental monitoring. We present a PID-based control law for straight path following in a quad-maran vessel. Operation test results at a real aquaculture farm to show the validly of the control system are reported.
{"title":"Sea Testing of Automatic Motion Control System for a Quad-Maran Unmanned Vessel","authors":"Makoto Komizo, Kota Mukai, N. Hara, Y. Nihei, K. Konishi","doi":"10.1109/CACS47674.2019.9024363","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024363","url":null,"abstract":"This paper considers a motion control system for a quad-maran unmanned vessel, which is aiming for automatic sea environmental monitoring. We present a PID-based control law for straight path following in a quad-maran vessel. Operation test results at a real aquaculture farm to show the validly of the control system are reported.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"57 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":"134456886","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 : 2019-11-01DOI: 10.1109/CACS47674.2019.9024367
Yu-Hsueh Chuo, Ruey-Kai Sheu, Lun-Chi Chen
Surveillance systems are everywhere deployed for criminal prevention and suspect tracking for specific security events. The recognition of the target person cross multiple cameras remains a challenge because of the large spatio-temporal uncertainty, which means the entry and the exit of persons in cameras are unpredictable. Therefore, this study design and implement a software system that help users to continuous and stable track of the same target person across multiple cameras. Firstly, the system leverages YOLO and Correlation filter to track the suspicious in single camera. The features of the target suspect are also collected in this stage. Once the target person leaves the scope of a camera, the camera network topology is used to predict the candidate entrance cameras based on the geographical information and tracking path in the first stage. In the second stage, the person re-identification algorithm is used to calculate the similarity possibility and help to identify the person automatically between cameras. Experimental results on public datasets show our system can accurately recognize the target suspect across cameras with acceptable system performance.
{"title":"Design and Implementation of a Cross-Camera Suspect Tracking System","authors":"Yu-Hsueh Chuo, Ruey-Kai Sheu, Lun-Chi Chen","doi":"10.1109/CACS47674.2019.9024367","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024367","url":null,"abstract":"Surveillance systems are everywhere deployed for criminal prevention and suspect tracking for specific security events. The recognition of the target person cross multiple cameras remains a challenge because of the large spatio-temporal uncertainty, which means the entry and the exit of persons in cameras are unpredictable. Therefore, this study design and implement a software system that help users to continuous and stable track of the same target person across multiple cameras. Firstly, the system leverages YOLO and Correlation filter to track the suspicious in single camera. The features of the target suspect are also collected in this stage. Once the target person leaves the scope of a camera, the camera network topology is used to predict the candidate entrance cameras based on the geographical information and tracking path in the first stage. In the second stage, the person re-identification algorithm is used to calculate the similarity possibility and help to identify the person automatically between cameras. Experimental results on public datasets show our system can accurately recognize the target suspect across cameras with acceptable system performance.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"499 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":"117025906","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 : 2019-11-01DOI: 10.1109/CACS47674.2019.9024353
U. Ghafoor, M. A. Yaqub, K. Hong
A decline in cognition characterized by the deficit in memory, judgment, and language is known as mild cognitive impairment (MCI). This deficiency has great likelihood of developing Alzheimer’s disease (AD). Hence, the recognition of MCI or an early stage of AD is critical at earliest for evaluation and treatment. In this study, functional near-infrared spectroscopy (fNIRS) was used to measure the concentration changes of oxygenated hemoglobin (ΔHbO) from the pre-frontal cortex of six healthy controls (HC) and six MCI patients during a working memory task. Various temporal features of ΔHbO, such as mean, slope, kurtosis, skewness, and peak-values, were tested for distinguishing MCI patients from HCs. We further investigated the impact of intervention (i.e., acupuncture treatment) on MCI patients (i.e., MCI-1: before intervention, MCI-2: after intervention). Both groups went through fNIRS recording procedure with a gap of 45 days. Before the second fNIRS measurement, only the patient group underwent interventions twice per week for six weeks. The results showed that the mean ΔHbO response of MCI-1 was significantly less than (p < 0.05) that of HC but similar (p > 0.05) with MCI-2. Out of tested temporal features, signal mean and peak values of HC were significantly different (p = 0.0409, p = 0.0430) in comparison to MCI-1 but no significant difference (p = 0.4885, p = 0.4437) if MCI-2. Moreover, these fNIRS results were positively correlated with cognitive test scores. These preliminary results showed that fNIRS can be used for distinguishing MCI patients from HCs using mean hemodynamic response as well as temporal features.
以记忆、判断和语言缺陷为特征的认知能力下降被称为轻度认知障碍(MCI)。这种缺陷极有可能导致阿尔茨海默病(AD)。因此，识别MCI或早期AD对于早期评估和治疗至关重要。本研究采用功能性近红外光谱(fNIRS)测量了6例健康对照(HC)和6例轻度认知障碍(MCI)患者在工作记忆任务期间前额叶皮层含氧血红蛋白(ΔHbO)的浓度变化。测试ΔHbO的各种时间特征，如平均值、斜率、峰度、偏度和峰值，以区分MCI患者和hcc患者。我们进一步研究了干预(即针灸治疗)对MCI患者(即干预前MCI-1，干预后MCI-2)的影响。两组均进行fNIRS记录，间隔45天。在第二次fNIRS测量之前，只有患者组每周进行两次干预，持续六周。结果显示，MCI-1的平均ΔHbO应答率显著低于HC (p < 0.05)，但与MCI-2相似(p > 0.05)。在测试的时间特征中，HC的信号均值和峰值与MCI-1相比有显著差异(p = 0.0409, p = 0.0430)，而与MCI-2相比无显著差异(p = 0.4885, p = 0.4437)。此外，这些fNIRS结果与认知测试成绩呈正相关。这些初步结果表明，fNIRS可以通过平均血流动力学反应和时间特征来区分MCI患者和hcc患者。
{"title":"Performance evaluation of temporal features for detection of mild cognitive impairment: An fNIRS study","authors":"U. Ghafoor, M. A. Yaqub, K. Hong","doi":"10.1109/CACS47674.2019.9024353","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024353","url":null,"abstract":"A decline in cognition characterized by the deficit in memory, judgment, and language is known as mild cognitive impairment (MCI). This deficiency has great likelihood of developing Alzheimer’s disease (AD). Hence, the recognition of MCI or an early stage of AD is critical at earliest for evaluation and treatment. In this study, functional near-infrared spectroscopy (fNIRS) was used to measure the concentration changes of oxygenated hemoglobin (ΔHbO) from the pre-frontal cortex of six healthy controls (HC) and six MCI patients during a working memory task. Various temporal features of ΔHbO, such as mean, slope, kurtosis, skewness, and peak-values, were tested for distinguishing MCI patients from HCs. We further investigated the impact of intervention (i.e., acupuncture treatment) on MCI patients (i.e., MCI-1: before intervention, MCI-2: after intervention). Both groups went through fNIRS recording procedure with a gap of 45 days. Before the second fNIRS measurement, only the patient group underwent interventions twice per week for six weeks. The results showed that the mean ΔHbO response of MCI-1 was significantly less than (p < 0.05) that of HC but similar (p > 0.05) with MCI-2. Out of tested temporal features, signal mean and peak values of HC were significantly different (p = 0.0409, p = 0.0430) in comparison to MCI-1 but no significant difference (p = 0.4885, p = 0.4437) if MCI-2. Moreover, these fNIRS results were positively correlated with cognitive test scores. These preliminary results showed that fNIRS can be used for distinguishing MCI patients from HCs using mean hemodynamic response as well as temporal features.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"28 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":"123681272","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 : 2019-11-01DOI: 10.1109/CACS47674.2019.9024735
S. Gayvoronskiy, T. Ezangina, I. Khozhaev
The paper is dedicated to a problem of parametric synthesis of a controller for a control system having interval parameters and affine uncertainty of characteristic polynomial coefficients. Such polynomial can be represented as a sum of productions of interval parameters and polynomials including zero and real poles. The paper proposes a method of synthesizing a linear robust controller placing system poles allocation areas according to desired control quality. The method is based on dividing parameters of a controller in two groups: restricted ones and unrestricted ones. Restricted parameters of a controller provide desired allocation of a dominant pole; unrestricted parameters determine allocation of all other poles of a system. In this case, the right border of an allocation area of a dominant pole defines minimal stability degree of a system synthesized. Values of controller parameters are proposed to be found via D-partition in vertices of a interval parameters’ polytope. An example of the proposed method application is provided.
{"title":"Parametric synthesis of a robust controller on a base of D-partition and method of dominant poles","authors":"S. Gayvoronskiy, T. Ezangina, I. Khozhaev","doi":"10.1109/CACS47674.2019.9024735","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024735","url":null,"abstract":"The paper is dedicated to a problem of parametric synthesis of a controller for a control system having interval parameters and affine uncertainty of characteristic polynomial coefficients. Such polynomial can be represented as a sum of productions of interval parameters and polynomials including zero and real poles. The paper proposes a method of synthesizing a linear robust controller placing system poles allocation areas according to desired control quality. The method is based on dividing parameters of a controller in two groups: restricted ones and unrestricted ones. Restricted parameters of a controller provide desired allocation of a dominant pole; unrestricted parameters determine allocation of all other poles of a system. In this case, the right border of an allocation area of a dominant pole defines minimal stability degree of a system synthesized. Values of controller parameters are proposed to be found via D-partition in vertices of a interval parameters’ polytope. An example of the proposed method application is provided.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"8 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":"114290005","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 : 2019-11-01DOI: 10.1109/CACS47674.2019.9024733
Shunsuke Maura, N. Hara, H. Akimoto, K. Konishi
A torque control law is proposed for floating axis wind turbine (FAWT), which is a new concept of floating wind turbines. The control law consists of the well-known maximum power point tracking control (Cp-max control) and maximum friction control. Numerical simulation shows that the control law achieves the maximum power capture under changes in operating conditions.
{"title":"Torque Control of the Floating Vertical Axis Wind Turbine with a Frictional Power Take-off System","authors":"Shunsuke Maura, N. Hara, H. Akimoto, K. Konishi","doi":"10.1109/CACS47674.2019.9024733","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024733","url":null,"abstract":"A torque control law is proposed for floating axis wind turbine (FAWT), which is a new concept of floating wind turbines. The control law consists of the well-known maximum power point tracking control (Cp-max control) and maximum friction control. Numerical simulation shows that the control law achieves the maximum power capture under changes in operating conditions.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"43 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":"127013155","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 : 2019-11-01DOI: 10.1109/CACS47674.2019.9024356
Sheng-Fuu Lin, Nien-Tzu Hsieh, Y. Jiang, Yuan-Cheng Hsieh
As technology develops and time progresses continuously, the automation technology is becoming increasingly significant in various fields. Automated road safety is an important issue nowadays. When the automatic vehicles driving on the road, it is very important to detect the surrounding objects. In this paper, we propose an automatic road safety monitoring system for detecting moving objects that will affect the safety of automatic vehicle. On the other hand, we propose a real-time traffic reporting system for determining the real-time traffic condition. Through above two systems, the safety and stability of the automatic vehicle can be improved.
{"title":"The studies on Automated Road Safety Monitoring System and Real-Time Traffic Reporting System of an Automatic Vehicle","authors":"Sheng-Fuu Lin, Nien-Tzu Hsieh, Y. Jiang, Yuan-Cheng Hsieh","doi":"10.1109/CACS47674.2019.9024356","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024356","url":null,"abstract":"As technology develops and time progresses continuously, the automation technology is becoming increasingly significant in various fields. Automated road safety is an important issue nowadays. When the automatic vehicles driving on the road, it is very important to detect the surrounding objects. In this paper, we propose an automatic road safety monitoring system for detecting moving objects that will affect the safety of automatic vehicle. On the other hand, we propose a real-time traffic reporting system for determining the real-time traffic condition. Through above two systems, the safety and stability of the automatic vehicle can be improved.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"102 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":"122927373","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}
The main objective of this paper is to establish an output/input relationship model based on machine learning for the fabric drying process of a general textile factory. The scenario of the fabric drying process involves a conveyor belt that drives the fabric through eight drying boxes, and the targeted metric of the post-drying fabric is the moisture content rate. This paper is composed of two main parts. The first part is to explain that how to select a predictive model measuring the output performance of the setting machine. The second part discusses the optimization of energy-saving parameters of multiple models chosen in the first part. This paper will introduce some techniques such as neural networks and machine learning algorithms to find the most suitable output/input relationship model, or so called “drying process quality prediction model”, for future development of energy saving.
{"title":"A study on Machine Learning Approaches for Predicting and Analyzing the Drying Process in the Textile Industry","authors":"Ke-Haur Taur, Xiang-Yun Deng, Mi-Huo Chou, Jing-Wei Chen, Yi-Hsiu Lee, Wen-June Wang","doi":"10.1109/CACS47674.2019.9024364","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024364","url":null,"abstract":"The main objective of this paper is to establish an output/input relationship model based on machine learning for the fabric drying process of a general textile factory. The scenario of the fabric drying process involves a conveyor belt that drives the fabric through eight drying boxes, and the targeted metric of the post-drying fabric is the moisture content rate. This paper is composed of two main parts. The first part is to explain that how to select a predictive model measuring the output performance of the setting machine. The second part discusses the optimization of energy-saving parameters of multiple models chosen in the first part. This paper will introduce some techniques such as neural networks and machine learning algorithms to find the most suitable output/input relationship model, or so called “drying process quality prediction model”, for future development of energy saving.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"59 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":"128643867","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 : 2019-11-01DOI: 10.1109/CACS47674.2019.9024359
Guowei Chen, Trieu-Khang Tu, Chun-Lin Chen, M. Tsai
Considering the appealing transmission feature of planetary gear, this study presents a new electronic differential system (EDS) for electrical vehicles. The electronically-controlled transmission (E-CVT) of rear-wheel speeds regulation can be easily realized by the kinematic analysis of planetary gear. For EDS, simultaneously maintaining the trajectory and rear-wheel speeds in uncertain environments is also an essential problem. Therefore, a synchronized motion control structure is employed such that the synchronized speed error is reduced and the desired speed differential is achieved. The simulation results are given to validate the performance of the synchronized motion control for the dual E-CVT system used in EDS.
{"title":"Synchronized Motion Control for Electronic Differential System via Planetary Gear Mechanism","authors":"Guowei Chen, Trieu-Khang Tu, Chun-Lin Chen, M. Tsai","doi":"10.1109/CACS47674.2019.9024359","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024359","url":null,"abstract":"Considering the appealing transmission feature of planetary gear, this study presents a new electronic differential system (EDS) for electrical vehicles. The electronically-controlled transmission (E-CVT) of rear-wheel speeds regulation can be easily realized by the kinematic analysis of planetary gear. For EDS, simultaneously maintaining the trajectory and rear-wheel speeds in uncertain environments is also an essential problem. Therefore, a synchronized motion control structure is employed such that the synchronized speed error is reduced and the desired speed differential is achieved. The simulation results are given to validate the performance of the synchronized motion control for the dual E-CVT system used in EDS.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"8 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":"130200687","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 : 2019-11-01DOI: 10.1109/CACS47674.2019.9024730
J. Tsai, J. Juang, Chia-Heng Tu, T. Tsai, P. Chung, Chih-Chung Hsu, Chao-Yang Lee, Ching-Fu Lin
Autonomous vehicles are gradually rising application of automotive area. The article performs several key technology of the autonomous vehicles in the project which are supported by the ministry of Science and Technology (MOST) of Taiwan. The project presents the technology of diversity positioning navigation, environment perception, planning and decision of the driver behavior, self-learning vehicle control and an eye-safe fiber-linked LIDAR system. Researchers and developers present the latest results according to the related integration applied and field verified.
{"title":"Development of Key Technologies for Autonomous Driving Vehicles","authors":"J. Tsai, J. Juang, Chia-Heng Tu, T. Tsai, P. Chung, Chih-Chung Hsu, Chao-Yang Lee, Ching-Fu Lin","doi":"10.1109/CACS47674.2019.9024730","DOIUrl":"https://doi.org/10.1109/CACS47674.2019.9024730","url":null,"abstract":"Autonomous vehicles are gradually rising application of automotive area. The article performs several key technology of the autonomous vehicles in the project which are supported by the ministry of Science and Technology (MOST) of Taiwan. The project presents the technology of diversity positioning navigation, environment perception, planning and decision of the driver behavior, self-learning vehicle control and an eye-safe fiber-linked LIDAR system. Researchers and developers present the latest results according to the related integration applied and field verified.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"2 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":"128131930","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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