A Graph-Based Temporal Attention Framework for Multi-Sensor Traffic Flow Forecasting

Autor: Yao Guo, Xiangqun Chen, Chuanpan Zheng, Shaokun Zhang, Peize Zhao

Publikováno v: IEEE Transactions on Intelligent Transportation Systems. 23:7743-7758

Accurate spatio-temporal traffic forecasting serves as the basis of dynamic strategy and applications for intelligent transportation systems, which is of great practical significance for improving traffic safety and mitigating road congestion. Recent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d93ddb944120e9f7f5f28416608fb8c2
https://doi.org/10.1109/tits.2021.3072118

Path Planning in Uncertain Environment With Moving Obstacles Using Warm Start Cross Entropy

Autor: Ning Lang, Demin Xu, Huiping Li, Xiuye Tao

Publikováno v: IEEE/ASME Transactions on Mechatronics. 27:800-810

This paper studies the robot's path planning problem with observation uncertainties in an environment containing moving obstacles. The framework of partially observable Markov decision process (POMDP) is utilized to deal with the planning problem, in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d32630040fc5522270369f2fbc0adae
https://doi.org/10.1109/tmech.2021.3071723

Pole-Curb Fusion Based Robust and Efficient Autonomous Vehicle Localization System With Branch-and-Bound Global Optimization and Local Grid Map Method

Autor: Zhijun Li, Jinhu Dong, Junwei Yu, Yinlong Liu, Guang Chen, Junqiao Zhao, Alois Knoll, Fan Lu

Publikováno v: IEEE Transactions on Vehicular Technology. 70:11283-11294

The localization system is one of the key components of autonomous vehicles. Widely-used GNSS (low-cost) alone can not meet the centimeter accuracy and is unstable in urban environment. Typically LiDAR-based localization system is very computationall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5f340e764e1e638c197d663edb2e344f
https://doi.org/10.1109/tvt.2021.3114825

Challenges in the representation of digital applications in SGAM: Overview and solutions

Autor: Jose Angel Leiva Vilaplana, Konrad Sundsgaard, Gabriel Miguel Gomes Guerreiro, Guangya Yang

Publikováno v: Leiva Vilaplana, J A, Sundsgaard, K, Gomes Guerreiro, G M & Yang, G 2022, Challenges in the representation of digital applications in SGAM: Overview and solutions . in Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies . IEEE, 2022 IEEE PES Innovative Smart Grid Technologies Europe, Novi Sad, Serbia, 10/10/2022 . https://doi.org/10.1109/ISGT-Europe54678.2022.9960549

Digital applications foster innovation and spur new business models emergence in the power and energy sector, enabling further development toward smart grids. The ongoing integration of disruptive digital tools and smart grid solutions brings new com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecc3d149193dac74c9176ede050a9f67

Probability of Collision between Autonomous Mobile Robot with an Obstacle

Autor: A. A. Tachkov, D. S. Iakovlev

Publikováno v: Mekhatronika, Avtomatizatsiya, Upravlenie. 22:125-133

The probability estimation problem of a collision between path tracking for an autonomous mobile robot with an obstacle is considered. We reviewed and analyzed methods for solving this problem. We show that reviewed methods use periodically updated g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1c497fc0958916ba27011980c27bc189
https://doi.org/10.17587/mau.22.125-133