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360 results on '"Tian, Daxin"'

1. Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection

Author

Lu, Weihao, Zhao, Dezong, Premebida, Cristiano, Zhang, Li, Zhao, Wenjing, and Tian, Daxin

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control
Abstract

Effective point cloud processing is crucial to LiDARbased autonomous driving systems. The capability to understand features at multiple scales is required for object detection of intelligent vehicles, where road users may appear in different sizes. Recent methods focus on the design of the feature aggregation operators, which collect features at different scales from the encoder backbone and assign them to the points of interest. While efforts are made into the aggregation modules, the importance of how to fuse these multi-scale features has been overlooked. This leads to insufficient feature communication across scales. To address this issue, this paper proposes the Point Pyramid RCNN (POP-RCNN), a feature pyramid-based framework for 3D object detection on point clouds. POP-RCNN consists of a Point Pyramid Feature Enhancement (PPFE) module to establish connections across spatial scales and semantic depths for information exchange. The PPFE module effectively fuses multi-scale features for rich information without the increased complexity in feature aggregation. To remedy the impact of inconsistent point densities, a point density confidence module is deployed. This design integration enables the use of a lightweight feature aggregator, and the emphasis on both shallow and deep semantics, realising a detection framework for 3D object detection. With great adaptability, the proposed method can be applied to a variety of existing frameworks to increase feature richness, especially for long-distance detection. By adopting the PPFE in the voxel-based and point-voxel-based baselines, experimental results on KITTI and Waymo Open Dataset show that the proposed method achieves remarkable performance even with limited computational headroom., Comment: 12 pages

Published
2024

2. Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

Author

Chen, Long, Li, Yuchen, Huang, Chao, Xing, Yang, Tian, Daxin, Li, Li, Hu, Zhongxu, Teng, Siyu, Lv, Chen, Wang, Jinjun, Cao, Dongpu, Zheng, Nanning, and Wang, Fei-Yue

Subjects
Computer Science - Artificial Intelligence, Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control
Abstract

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys have reviewed research achievements in this field, they are still limited in specific tasks and lack systematic summaries and research directions in the future. Our work is divided into 3 independent articles and the first part is a Survey of Surveys (SoS) for total technologies of AD and IVs that involves the history, summarizes the milestones, and provides the perspectives, ethics, and future research directions. This is the second part (Part I for this technical survey) to review the development of control, computing system design, communication, High Definition map (HD map), testing, and human behaviors in IVs. In addition, the third part (Part II for this technical survey) is to review the perception and planning sections. The objective of this paper is to involve all the sections of AD, summarize the latest technical milestones, and guide abecedarians to quickly understand the development of AD and IVs. Combining the SoS and Part II, we anticipate that this work will bring novel and diverse insights to researchers and abecedarians, and serve as a bridge between past and future., Comment: 18 pages, 4 figures, 3 tables, in IEEE Trans. Syst. Man Cybern. Syst

Published
2023
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3. Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

Author

Chen, Long, Li, Yuchen, Huang, Chao, Li, Bai, Xing, Yang, Tian, Daxin, Li, Li, Hu, Zhongxu, Na, Xiaoxiang, Li, Zixuan, Teng, Siyu, Lv, Chen, Wang, Jinjun, Cao, Dongpu, Zheng, Nanning, and Wang, Fei-Yue

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence
Abstract

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys have reviewed research achievements in this field, they are still limited in specific tasks, lack of systematic summary and research directions in the future. Here we propose a Survey of Surveys (SoS) for total technologies of AD and IVs that reviews the history, summarizes the milestones, and provides the perspectives, ethics, and future research directions. To our knowledge, this article is the first SoS with milestones in AD and IVs, which constitutes our complete research work together with two other technical surveys. We anticipate that this article will bring novel and diverse insights to researchers and abecedarians, and serve as a bridge between past and future., Comment: 13 pages, 3 tables, 0 figure

Published
2023
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4. RPBFT: A Scalable Consensus Mechanism for Large Blockchain Systems

Author

Wang, Weizhe, Tian, Daxin, Duan, Xuting, Zhou, Jianshan, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Leung, Victor C.M., editor, Li, Hezhang, editor, Hu, Xiping, editor, and Ning, Zhaolong, editor

Published
2024
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5. Robust Neural Control for Distributed Formation of UAVs Under Uncertain Disturbances

Author

Li, Chenwei, Xie, Ailing, Zhou, Jianshan, Tian, Daxin, Duan, Xuting, Sheng, Zhengguo, Zhao, Dezong, Lu, Caixia, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Qu, Yi, editor, Gu, Mancang, editor, Niu, Yifeng, editor, and Fu, Wenxing, editor

Published
2024
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8. A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks

Author

Ayaz, Ferheen, Sheng, Zhengguo, Tian, Daxin, and Guan, Yong Liang

Subjects
Computer Science - Cryptography and Security
Abstract

Message exchange among vehicles plays an important role in ensuring road safety. Emergency message dissemination is usually carried out by broadcasting. However, high vehicle density and mobility usually lead to challenges in message dissemination such as broadcasting storm and low probability of packet reception. This paper proposes a federated learning based blockchain-assisted message dissemination solution. Similar to the incentive-based Proof-of-Work consensus in blockchain, vehicles compete to become a relay node (miner) by processing the proposed Proof-of-Federated-Learning (PoFL) consensus which is embedded in the smart contract of blockchain. Both theoretical and practical analysis of the proposed solution are provided. Specifically, the proposed blockchain based federated learning results in more number of vehicles uploading their models in a given time, which can potentially lead to a more accurate model in less time as compared to the same solution without using blockchain. It also outperforms the other blockchain approaches for message dissemination by reducing 65.2% of time delay in consensus, improving at least 8.2% message delivery rate and preserving privacy of neighbor vehicle more efficiently. The economic model to incentivize vehicles participating in federated learning and message dissemination is further analyzed using Stackelberg game model., Comment: Submitted to IEEE Transactions on Vehicular Technology

Published
2021

11. Applications of Game Theory in Vehicular Networks: A Survey

Author

Sun, Zemin, Liu, Yanheng, Wang, Jian, Li, Guofa, Anil, Carie, Li, Keqiang, Guo, Xinyu, Sun, Geng, Tian, Daxin, and Cao, Dongpu

Subjects
Computer Science - Computer Science and Game Theory
Abstract

In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming Vehicular Networks (VNs) that provide efficient and secure traffic and ubiquitous access to various applications. However, as the number of nodes in ITS increases, it is challenging to satisfy a varied and large number of service requests with different Quality of Service and security requirements in highly dynamic VNs. Intelligent nodes in VNs can compete or cooperate for limited network resources to achieve either an individual or a group's objectives. Game Theory (GT), a theoretical framework designed for strategic interactions among rational decision-makers sharing scarce resources, can be used to model and analyze individual or group behaviors of communicating entities in VNs. This paper primarily surveys the recent developments of GT in solving various challenges of VNs. This survey starts with an introduction to the background of VNs. A review of GT models studied in the VNs is then introduced, including its basic concepts, classifications, and applicable vehicular issues. After discussing the requirements of VNs and the motivation of using GT, a comprehensive literature review on GT applications in dealing with the challenges of current VNs is provided. Furthermore, recent contributions of GT to VNs integrating with diverse emerging 5G technologies are surveyed. Finally, the lessons learned are given, and several key research challenges and possible solutions for applying GT in VNs are outlined., Comment: It has been published on "IEEE communications surveys and tutorials" (https://ieeexplore.ieee.org/document/9524815)

Published
2021
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12. UAV Integrated Internet-of-Vehicle (IoV) System for Flooding Monitoring and Rescue

Author

Liu, Bo, Ayaz, Ferheen, Anh, Hồ Diệp, Edwards, Ollie, Zeng, Yong, Sheng, Zhengguo, Duan, Xuting, Tian, Daxin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Fu, Wenxing, editor, Gu, Mancang, editor, and Niu, Yifeng, editor

Published
2023
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13. Vehicle-Edge-Cloud Integrated Communication and Computing Testbed for Intelligent Transportation Systems

Author

Fu, Yanjin, Zhou, Jianshan, Duan, Xuting, Sheng, Zhengguo, Tian, Daxin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Fu, Wenxing, editor, Gu, Mancang, editor, and Niu, Yifeng, editor

Published
2023
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14. Cooperative Adaptive Cruise Control and Decision Making for Fuel-Efficient Vehicle Platooning

Author

Jia, Xiaomeng, Zhou, Jianshan, Duan, Xuting, Sheng, Zhengguo, Tian, Daxin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Fu, Wenxing, editor, Gu, Mancang, editor, and Niu, Yifeng, editor

Published
2023
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15. Dynamic Computation Offloading for Platooning Vehicles: A Stochastic Game-Theoretic Approach

Author

Liu, Shiyi, Zhou, Jianshan, Tian, Daxin, Ren, Chenghao, Duan, Xuting, Sheng, Zhengguo, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Fu, Wenxing, editor, Gu, Mancang, editor, and Niu, Yifeng, editor

Published
2023
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17. Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review

Author

Cui, Yaodong, Chen, Ren, Chu, Wenbo, Chen, Long, Tian, Daxin, Li, Ying, and Cao, Dongpu

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Computer Science - Robotics
Abstract

Autonomous vehicles were experiencing rapid development in the past few years. However, achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic driving environment. Therefore, autonomous vehicles are equipped with a suite of different sensors to ensure robust, accurate environmental perception. In particular, the camera-LiDAR fusion is becoming an emerging research theme. However, so far there has been no critical review that focuses on deep-learning-based camera-LiDAR fusion methods. To bridge this gap and motivate future research, this paper devotes to review recent deep-learning-based data fusion approaches that leverage both image and point cloud. This review gives a brief overview of deep learning on image and point cloud data processing. Followed by in-depth reviews of camera-LiDAR fusion methods in depth completion, object detection, semantic segmentation, tracking and online cross-sensor calibration, which are organized based on their respective fusion levels. Furthermore, we compare these methods on publicly available datasets. Finally, we identified gaps and over-looked challenges between current academic researches and real-world applications. Based on these observations, we provide our insights and point out promising research directions.

Published
2020
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22. Analysis of the Relationship Between the Passenger Flow and Surrounding Land Use Types at the Subway Stations of the Batong Subway Line of Beijing Based on Remote Sensing Images

Author

Duan, Xuting, Sun, Chen, Tian, Daxin, Xia, Shudong, Ran, Xuejun, Han, Xu, Sun, Yafu, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Xingming, editor, Zhang, Xiaorui, editor, Xia, Zhihua, editor, and Bertino, Elisa, editor

Published
2022
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23. The Optimization Method of the Layout of Integrated Passenger Transport Terminals in Beijing-Tianjin- Hebei Urban Agglomeration

Author

Sun, Chen, Duan, Xuting, Tian, Daxin, Xia, Shudong, Ran, Xuejun, Han, Xu, Sun, Yafu, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Xingming, editor, Zhang, Xiaorui, editor, Xia, Zhihua, editor, and Bertino, Elisa, editor

Published
2022
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25. Traffic Crowd Congested Scene Recognition Based on Dilated Convolution Network

Author

Wei, Xinlei, Liu, Yingji, Zhou, Wei, Xia, Haiying, Tian, Daxin, Cheng, Ruifen, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gao, Wanling, editor, Hwang, Kai, editor, Wang, Changyun, editor, Li, Weiping, editor, Qiu, Zhigang, editor, Wang, Lei, editor, Zhou, Aoying, editor, Qian, Weining, editor, Jin, Cheqing, editor, and Zhang, Zhifei, editor

Published
2021
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26. Multi-sensor Fusion Detection Method for Vehicle Target Based on Kalman Filter and Data Association Filter

Author

Duan, Xuting, Sun, Chengming, Tian, Daxin, Zheng, Kunxian, Zhou, Gang, E, Wenjuan, Zhang, Yundong, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Xingming, editor, Zhang, Xiaorui, editor, Xia, Zhihua, editor, and Bertino, Elisa, editor

Published
2021
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27. Multiple Unmanned Armored Vehicle Formation Transform

Author

Huang, Miqi, Tian, Daxin, Duan, Xuting, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Jia, Yingmin, editor, Zhang, Weicun, editor, and Fu, Yongling, editor

Published
2021
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32. Efficient Robust Control of Mixed Platoon for Improving Fuel Economy and Ride Comfort

Author

Zhang, Peiyu, Tian, Daxin, Zhou, Jianshan, Duan, Xuting, Sheng, Zhengguo, Zhao, Dezong, and Cao, Dongpu

Abstract

The emergence of connected and automated vehicle technology has improved the operational efficiency of mixed traffic systems. This paper studies a two-tier trajectory optimization problem for mixed platooning to improve fuel efficiency, ride comfort, and operational safety during vehicle operations. The proposed model follows a two-tier control logic to plan the trajectory of platooning vehicles with three objectives, including minimizing fuel consumption, maximizing ride comfort, and enhancing the anti-disturbance performance of the platoon. The first is the planning tier, which aims to design the optimal trajectory for Connected and Automated Vehicles (CAVs) based on the optimal fuel consumption and comfort and obtain the expected acceleration curve of CAV. The second is the control tier, which aims to ensure the safe operation of platooning vehicles in the presence of uncertain disturbances in real time. Specifically, we propose a robust tube MPC control method, which dynamically adjusts the CAV acceleration according to the reference trajectory obtained by the planning tier to resist the effects of uncertain disturbances, and the tracking behaviour of Human-Driven Vehicles (HDVs) is offline solved by the robust optimal velocity model. Finally, we design simulation experiments to verify the effectiveness of the proposed two-tier optimization framework. The experimental results show the effectiveness and advantages of the two-tier framework in terms of fuel economy, ride comfort, and robustness against different noise disturbances.

Published
2024
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34. An advanced subway train localization system using a vision-based kilometer marker recognition-assisted multi-sensor fusion method.

Author

Xian, Xiaoyu, Liu, Dan, Tian, Daxin, Tian, Yin, Jiang, Wei, Shi, Yukai, and Lin, Liang

Subjects
MULTISENSOR data fusion, SUBWAYS, GLOBAL Positioning System, ROAD markings, MAINTENANCE costs
Abstract

To solve the high costs of the existing transponder/odometer-based wayside subway train localization method and the discontinuity of the GNSS-based subway train localization method in blocked GNSS environments, an advanced and alternative subway train localization system using the INS/Vision/ODO/MM fusion method is first proposed in this research. To evaluate the performance of the proposed INS/Vision/ODO/MM fusion method, a railway test was conducted on the Beijing Changping Line. The results show the proposed localization method can provide available and continuous 1-D positioning results with an accuracy of 10.82 m, which is a 52.71% improvement compared with the existing ATO. It also shows that the proposed vision-aided multi-sensor fusion method can be used as an alternative to the existing wayside-transponder-based localization system to provide navigation solutions for train safe operation without relying on wayside equipment and with low cost and easy maintenance. [ABSTRACT FROM AUTHOR]

Published
2024
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41. An Intrusion Detection System Based on Machine Learning for CAN-Bus

Author

Tian, Daxin, Li, Yuzhou, Wang, Yunpeng, Duan, Xuting, Wang, Congyu, Wang, Wenyang, Hui, Rong, Guo, Peng, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Chen, Yuanfang, editor, and Duong, Trung Q., editor

Published
2018
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42. Swarm Intelligence Inspired Adaptive Traffic Control for Traffic Networks

Author

Tian, Daxin, Wei, Yu, Zhou, Jianshan, Zheng, Kunxian, Duan, Xuting, Wang, Yunpeng, Wang, Wenyang, Hui, Rong, Guo, Peng, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Chen, Yuanfang, editor, and Duong, Trung Q., editor

Published
2018
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43. A Vehicular Positioning Enhancement with Connected Vehicle Assistance Using Extended Kalman Filtering

Author

Tian, Daxin, Liu, Wenhao, Duan, Xuting, Rong, Hui, Guo, Peng, Wang, Wenyang, Zhang, Haijun, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Long, Keping, editor, Leung, Victor C.M., editor, Zhang, Haijun, editor, Feng, Zhiyong, editor, Li, Yonghui, editor, and Zhang, Zhongshan, editor

Published
2018
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44. A Novel Intrusion Detection System Based on Advanced Naive Bayesian Classification

Author

Wang, Yunpeng, Li, Yuzhou, Tian, Daxin, Wang, Congyu, Wang, Wenyang, Hui, Rong, Guo, Peng, Zhang, Haijun, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Long, Keping, editor, Leung, Victor C.M., editor, Zhang, Haijun, editor, Feng, Zhiyong, editor, Li, Yonghui, editor, and Zhang, Zhongshan, editor

Published
2018
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45. Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish

Author

Tian, Daxin, Kang, Lu, Zheng, Kunxian, Duan, Xuting, Rong, Hui, Guo, Peng, Wang, Wenyang, Zhang, Haijun, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Long, Keping, editor, Leung, Victor C.M., editor, Zhang, Haijun, editor, Feng, Zhiyong, editor, Li, Yonghui, editor, and Zhang, Zhongshan, editor

Published
2018
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46. REFF: REliable and Fast Forwarding in Vehicular Ad-hoc Network

Author

Tian, Daxin, Dai, Ziyi, Zheng, Kunxian, Zhou, Jianshan, Duan, Xuting, Guo, Peng, Rong, Hui, Wang, Wenyang, Zhang, Haijun, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Long, Keping, editor, Leung, Victor C.M., editor, Zhang, Haijun, editor, Feng, Zhiyong, editor, Li, Yonghui, editor, and Zhang, Zhongshan, editor

Published
2018
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