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Crowdsourced Road semantics mapping Based on Pixel-Wise Confidence Level

Automotive Innovation 2022年第1期5卷 43-56页

作者： Benny Wijaya Kun Jiang Mengmeng Yang Tuopu Wen Xuewei Tang Diange Yang State Key Laboratory of Automotive Safety and Energy and Center for Intelligent Connected Vehicles and TransportationTsinghua UniversityBeijing 100084China

High-definition map has become a vital cornerstone in the navigation of autonomous vehicles in complex traffic ***,the construction of high-definition maps has become *** methods relying on expensive mapping vehicles equipped with high-end sensor equipment are not suitable for mass map construction because of the limitation imposed by its high ***,this paper proposes a new method to create a high-definition road semantics map using multi-vehicle sensor *** proposed method implements crowdsourced point-based visual SLAM to align and combine the local maps derived by multiple *** allows users to modify the extraction process by using a more sophisticated neural network,thus achieving a more accurate detection result when compared with traditional binarization *** resulting map consists of road marking points suitable for autonomous vehicle navigation and path-planning ***,the method is evaluated on the real-world KAIST urban dataset and Shougang dataset to demonstrate the level of detail and accuracy of the proposed map with 0.369 m in mapping errors in ideal condition.

关键词： Crowdsourced mapping Map fusion SLAM semantic mapping

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Robo Cloud: augmenting robotic visions for open environment modeling using Internet knowledge

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Science China(Information Sciences) 2018年第5期61卷 19-34页

作者： Yiying LI Huaimin WANG Bo DING Wei ZHOU College of Computer National University of Defense Technology

Modeling an open environment that contains unpredictable objects is a challenging problem in the field of robotics. In traditional approaches, when a robot encounters an unknown object, a mistake will inevitably be added to the robot's environmental model, severely constraining the robot's autonomy,and possibly leading to disastrous consequences in certain settings. The abundant knowledge accumulated on the Internet has the potential to remedy the uncertainties that result from encountering with unknown objects. However, robotic applications generally pay considerable attention to quality of service(Qo S).For this reason, directly accessing the Internet, which can be unpredictable, is generally not *** Cloud is proposed as a novel approach to environment modeling that takes advantage of the Internet without sacrificing the critical properties of Qo S. Robo Cloud is a "mission cloud–public cloud" layered cloud organization model in which the mission cloud provides Qo S-available environment modeling capability with built-in prior knowledge while the public cloud is the existing services provided by the Internet. The "cloud phase transition" mechanism seeks help from the public cloud only when a request is outside the knowledge of the mission cloud and the Qo S cost is acceptable. We have adopted semantic mapping, a typical robotic environment modeling task, to illustrate and substantiate our approach and key mechanism. Experiments using open 2 D and 3 D datasets with real robots have demonstrated that Robo Cloud is able to augment robotic visions for open environment modeling.

关键词： Internet-augmented environment modeling uncertainty robotic visions semantic mapping robotic software cloud robotics

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An Investigation of Two Ways of Teaching Vocabulary to L2 Learners

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海外英语 2017年第24期 251-252页

作者：詹玉月湖北文理学院外国语学院

As for language learners, vocabulary acquisition is one of the most important tasks, and the same goes for L2 ***, some researchers claim that semantic mapping is far more effective in vocabulary. The present study comparatively investigate two strategies of teaching vocabulary to non-English lower-intermediate learners. One is the traditional grammatical description and drilling way, the other is the semantic mapping. Six new words were taught by using these two ways respectively,and a sample test was applied to check students' mastery of these words at the end of the class. The test results show that there is no significant difference between the learning outcomes of these two different teaching approaches, but learners turned out to be more engaged when the teacher conducted the semantic links teaching method. Therefore, perhaps, a combination of these two approaches would be a good choice for those L2 learners.

关键词： vocabulary acquisition L2 learner grammatical descriptions and drilling semantic mapping EFL classroom

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语义映射质量及影响因素分析

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图书馆学情报学 2016年第12期

作者：鲍秀林吴雯娜

国家叙词库采用以《汉语主题词表》为中心表、其他中文叙词表向中心表映射的模式进行基于概念的语义集成。为了研究学科交叉对国家叙词库语义映射造成的影响，本文选取八部叙词表中环境科学大类5120个概念，与《汉语主题词表》环境科学... 详细信息

国家叙词库采用以《汉语主题词表》为中心表、其他中文叙词表向中心表映射的模式进行基于概念的语义集成。为了研究学科交叉对国家叙词库语义映射造成的影响，本文选取八部叙词表中环境科学大类5120个概念，与《汉语主题词表》环境科学大类8329个概念进行映射实验。通过计算机自动匹配发现，多表映射存在一个概念等同映射到多个概念，多个概念等同映射到一个概念等逻辑问题。本文以实例形式分析这些逻辑问题的存在形式，并从概念专指度、概念语义模糊、语义关系结构、学科背景等方面分析产生这些逻辑问题的主要原因；在此基础上，提出解决这些逻辑问题的原则以及映射完整性的判定规则。图16。表5。参考文献14。

关键词：语义映射多表映射等同映射映射质量国家叙词库 semantic mapping Multi thesaurus mapping Equivalent mapping mapping quality The National Thesauri Warehouse

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数据集成中关系数据库到OWL语义映射

数据集成中关系数据库到OWL语义映射

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第二十三届中国数据库学术会议

作者：沈国华黄志球朱小栋孔红云南京航空航天大学信息科学与技术学院

1前言数据集成旨在针对不同的数据格式、存储位置、访问接口提供统一的视图,这是当前分布环境下数据管理系统面临的一个主要问题,并逐步取代数

关键词： semantic mapping OWL Relational database Data integration

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