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室外環(huán)境智能駕駛技術(shù)綜述
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山東建筑大學(xué)

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Overview of SLAM for Outdoor Environments
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    摘要:

    本文針對低速無(wú)人車(chē)在室外發(fā)展需要用到的關(guān)鍵技術(shù),展開(kāi)了對高精度地圖與三維激光雷達同步定位與建圖方法的討論。指出了室外環(huán)境與室內環(huán)境的智能導航技術(shù)的主要區別,一方面是室內外環(huán)境差異較大,需要對動(dòng)靜態(tài)障礙物綜合處理也需要遵守交通法規,另一方面室外環(huán)境對傳感器也要求較高,還有一點(diǎn)是在室外情況經(jīng)常會(huì )出現全球定位系統信號差導致定位不準確的情況;本文針對以上問(wèn)題介紹了兩個(gè)重要的低速無(wú)人車(chē)自主定位與導航技術(shù),首先是高精度地圖的使用,主要介紹了高精度地圖的理論框架與地圖制作方法;然后討論了介紹了較為成熟的室內SLAM算法,并討論算法的局限性,引出室外3D SLAM方法的重大突破算法與發(fā)展現狀;最后提出未來(lái)室外SLAM技術(shù)的發(fā)展趨勢。

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    Aiming at the key technologies needed for the development of intelligent driving technology in outdoors, this paper discusses the simultaneous localization and mapping technology of high-precision map and three-dimensional LiDAR It is quite different from the outdoor and indoor environment, On the one hand, the indoor and outdoor environments are quite different, and comprehensive treatment of dynamic and static obstacles is required, and traffic laws and regulations are also required, On the other hand, the outdoor environment also has high requirements for sensors. What’s more, poor Global Positioning System signals often lead to inaccurate positioning in outdoor situations. Around the above problems, this paper introduces two important outdoor SLAM development technologies, the first is the application of high-precision maps, including the theoretical framework and map production method. And then, the more mature indoor SLAM algorithm including the limitations of the algorithm is discussed, at last, the major breakthrough algorithm and development status of the outdoor 3D SLAM method are introduced. In the end, the future development trend of outdoor SLAM technology is proposed.

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谷新建.室外環(huán)境智能駕駛技術(shù)綜述計算機測量與控制[J].,2024,32(10):1-8.

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歷史
  • 收稿日期:2023-07-21
  • 最后修改日期:2023-10-16
  • 錄用日期:2023-10-17
  • 在線(xiàn)發(fā)布日期: 2024-10-30
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