Výsledky vyhledávání

Fusing geometrical and visual information via superpoints for the semantic segmentation of 3D road scenes

Autor: Ming Yang, Yuesheng He, Zhidong Liang, Liuyuan Deng, Chunxiang Wang

Publikováno v: Tsinghua Science and Technology. 25:498-507

This paper addresses the problem of the semantic segmentation of large-scale 3D road scenes by incorporating the complementary advantages of point clouds and images. To make full use of geometrical and visual information, this paper extracts 3D geome

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84aa2a405cfd613617ef431711f9bc5e
https://doi.org/10.26599/tst.2019.9010038

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A Novel Scheme Based on the Diffusion to Edge Detection

Autor: Yuesheng He, Lionel M. Ni

Publikováno v: IEEE Transactions on Image Processing. 28:1613-1624

A novel scheme of edge detection based on the physical law of diffusion is presented in this paper. Though the most current studies are using data based methods such as deep neural networks, these methods on machine learning need big data of labeled

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06832b471563e3c677b762ee291c1b42
https://doi.org/10.1109/tip.2018.2880568

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Time-of-Flight Camera Based Indoor Parking Localization Leveraging Manhattan World Regulation

Autor: Ming Yang, Hengwang Zhao, Yuesheng He, Chunxiang Wang

Publikováno v: 2020 IEEE Intelligent Vehicles Symposium (IV).

Localization is a key problem for autonomous driving in indoor parking. There have been some previously proposed methods based on UWB, LiDAR, fisheye cameras, etc. However, most of these methods have some drawbacks such as high cost or dependency on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1337520afca2b0a39303bfd57390b8c6
https://doi.org/10.1109/iv47402.2020.9304661

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Mapping and Localization using Semantic Road Marking with Centimeter-level Accuracy in Indoor Parking Lots

Autor: Hu Jiaxin, Ming Yang, Chunxiang Wang, Yuesheng He, Hanqing Xu

Publikováno v: ITSC

Accurate localization is one of the fundamental tasks of vehicles visual navigation in parking lots. In this paper, we propose a practical and novel solution, which exploits road marking semantic segmentation to attack the problem of long-term and hi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::445e855d77bcb6c18b7a39f2bfd95454
https://doi.org/10.1109/itsc.2019.8917529

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Multi-Reward Architecture based Reinforcement Learning for Highway Driving Policies

Autor: Yuesheng He, Wei Yuan, Ming Yang, Bing Wang, Chunxiang Wang

Publikováno v: ITSC

A safe and efficient driving policy is essential for the future autonomous highway driving. However, driving policies are hard for modeling because of the diversity of scenes and uncertainties of the interaction with surrounding vehicles. The state-o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::508e7381bb7ce94e9d13b0aa893a36f6
https://doi.org/10.1109/itsc.2019.8917304

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Graph Matching Pose SLAM based on Road Network Information

Autor: Bing Wang, Yuesheng He, Ming Yang, Hao Li, Lei He, Chunxiang Wang

Publikováno v: 2019 IEEE Intelligent Vehicles Symposium (IV).

This paper presents a Graph Matching Pose SLAM to build the perception map which is a prerequisite of localization and environment perception of the intelligent vehicle. Graph-based simultaneous localization and mapping (SLAM) is widely used to build

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec2b62ad152d57f994bf6dc22a4c994f
https://doi.org/10.1109/ivs.2019.8814093

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Computer-Controlled Graphical Avatars and Reinforcement Learning

Autor: Yuesheng He, Yuan Yan Tang

Controlling Graphical avatars intelligently in real-time applications such as 3D computer simulating environment has become important as the storage and computational power of computers has increased. Such avatars are usually controlled by Finite Sta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d05ddfe5195e48aa100abac71ac746d0
https://doi.org/10.4018/978-1-4666-1806-0.ch018

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