Pub Date : 2020-10-08DOI: 10.1109/ATC50776.2020.9255456
Khanh Du Nguyen Tu, Hoang Dung Nguyen, Thanh-Hai Tran
Estimating the steering angle is a fundamental but challenging problem for autonomous vehicles. The main challenges come from different road conditions and capturing sensors. In this paper, we first present an autonomous vehicle prototype for different tasks in small and narrow indoor environment. We then perform a comparative study on two approaches for vision based steering angle estimation to drive the designed vehicle. One approach bases on conventional image processing techniques such as edge detection and Hough transform while the other one bases on advanced deep learning (convolutional neural network). We evaluate both methods on a common dataset. Experimental results show that in the scenario with simple and static background, image processing techniques give lightly faster and more precise steering angle. However, deep learning based approach is well generalized to background changes. We applied and integrated our proposed methods on the designed vehicle and show their capacity to drive the vehicle accurately.
{"title":"Vision based steering angle estimation for autonomous vehicles","authors":"Khanh Du Nguyen Tu, Hoang Dung Nguyen, Thanh-Hai Tran","doi":"10.1109/ATC50776.2020.9255456","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255456","url":null,"abstract":"Estimating the steering angle is a fundamental but challenging problem for autonomous vehicles. The main challenges come from different road conditions and capturing sensors. In this paper, we first present an autonomous vehicle prototype for different tasks in small and narrow indoor environment. We then perform a comparative study on two approaches for vision based steering angle estimation to drive the designed vehicle. One approach bases on conventional image processing techniques such as edge detection and Hough transform while the other one bases on advanced deep learning (convolutional neural network). We evaluate both methods on a common dataset. Experimental results show that in the scenario with simple and static background, image processing techniques give lightly faster and more precise steering angle. However, deep learning based approach is well generalized to background changes. We applied and integrated our proposed methods on the designed vehicle and show their capacity to drive the vehicle accurately.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114567419","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255482
P. V. Hung, N. Dinh, D. T. Dung, Yoshihide Yamada
A negative refractive index lens antenna has a high direction, a capacity to produce multiple beams and beam steering with a thin antenna size. These characteristics enable the lens antenna to be chosen as one of the effective antennas for the base station antenna in mobile communications, meeting the rapid growth in wireless connections. In this paper, the authors use a ray tracing method to calculate and determine the caustic points and their trajectories for a negative refractive index lens. These caustic points are the feed-setting positions from which the antenna can generate the beams at the desired angles. The authors also perform the simulations of negative refractive index lens antennas with feed horns set at caustics and reference feed points. The results show the accuracy and efficiency of the calculation of caustic points and the beam steering ability of the lens antennas with negative refractive indexes.
{"title":"Caustics and Beam Steering Calculations of Negative Refractive Index Lens Antenna by the Ray Tracing Method","authors":"P. V. Hung, N. Dinh, D. T. Dung, Yoshihide Yamada","doi":"10.1109/ATC50776.2020.9255482","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255482","url":null,"abstract":"A negative refractive index lens antenna has a high direction, a capacity to produce multiple beams and beam steering with a thin antenna size. These characteristics enable the lens antenna to be chosen as one of the effective antennas for the base station antenna in mobile communications, meeting the rapid growth in wireless connections. In this paper, the authors use a ray tracing method to calculate and determine the caustic points and their trajectories for a negative refractive index lens. These caustic points are the feed-setting positions from which the antenna can generate the beams at the desired angles. The authors also perform the simulations of negative refractive index lens antennas with feed horns set at caustics and reference feed points. The results show the accuracy and efficiency of the calculation of caustic points and the beam steering ability of the lens antennas with negative refractive indexes.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129346927","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255366
D. Duong
In this paper, we propose a novel multiple description coding (MDC) method to operate at network edges for robust video transmission. The proposed MDC method, named VVC-MDC offers benefits of both the new H.266 Versatile video coding (H.266/VVC) and Distributed video coding (DVC) standards, which can provide not only higher performance compared to the traditional MDC methods but also effective scheme for the error resilience. At the encoder, the proposed VVC-MDC coder encode the source video sequence into two descriptions including odd and even subsequences and then transmit these descriptions to the receiver. At the receiver, our proposed MDC decoder is designed using a novel WynerZiv (WZ) coding introduced in the DVC to provide a high image quality for the video sequence. Unlike the conventional MDC methods, the redundant data in our proposed MDC can be effectively controlled based on the WZ coding scheme. Experimental results show that the proposed method can achieve a wide range of tradeoffs between coding efficiency and error resilience, and provide much better H.266/VVC peak signal-to-noise ratio (PSNR) performance than other conventional MDC methods.
{"title":"New H.266/VVC Based Multiple Description Coding for Robust Video Transmission over Error-Prone Networks","authors":"D. Duong","doi":"10.1109/ATC50776.2020.9255366","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255366","url":null,"abstract":"In this paper, we propose a novel multiple description coding (MDC) method to operate at network edges for robust video transmission. The proposed MDC method, named VVC-MDC offers benefits of both the new H.266 Versatile video coding (H.266/VVC) and Distributed video coding (DVC) standards, which can provide not only higher performance compared to the traditional MDC methods but also effective scheme for the error resilience. At the encoder, the proposed VVC-MDC coder encode the source video sequence into two descriptions including odd and even subsequences and then transmit these descriptions to the receiver. At the receiver, our proposed MDC decoder is designed using a novel WynerZiv (WZ) coding introduced in the DVC to provide a high image quality for the video sequence. Unlike the conventional MDC methods, the redundant data in our proposed MDC can be effectively controlled based on the WZ coding scheme. Experimental results show that the proposed method can achieve a wide range of tradeoffs between coding efficiency and error resilience, and provide much better H.266/VVC peak signal-to-noise ratio (PSNR) performance than other conventional MDC methods.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127567401","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255469
T. Umezawa
In the next generation of communication technology, high data rate, low latency communication will be indispensable. In order to achieve those targets, wireless communication technology combined with photonics will have a big potential. In this talk, we will present fiber wireless and optical wireless communications and its key device as the advanced wireless communication technologies. A new device integrated with a 100 GHz uni-travelling carrier photodetector and a 100 GHz pHEMT amplifier will be introduced for high data rate fiber wireless communication application beyond 10 Gbps. For optical wireless communication applications, a new two-dimensional photodetector array device will be introduced and the link performances will be discussed.
{"title":"Fiber Wireless and Optical Wireless Communications Using High Speed Photonic Devices","authors":"T. Umezawa","doi":"10.1109/ATC50776.2020.9255469","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255469","url":null,"abstract":"In the next generation of communication technology, high data rate, low latency communication will be indispensable. In order to achieve those targets, wireless communication technology combined with photonics will have a big potential. In this talk, we will present fiber wireless and optical wireless communications and its key device as the advanced wireless communication technologies. A new device integrated with a 100 GHz uni-travelling carrier photodetector and a 100 GHz pHEMT amplifier will be introduced for high data rate fiber wireless communication application beyond 10 Gbps. For optical wireless communication applications, a new two-dimensional photodetector array device will be introduced and the link performances will be discussed.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117034274","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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