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Concept Study of a Self-localization System for Snow-covered Roads Using a Four-layer Laser Scanner

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Abstract

Many advanced driver assistance systems have entered the market, and automated driving technologies have been developed. Many of them may not work in adverse weather conditions. A forward-looking camera, for example, is the most popular system used for lane detection but does not work for a snow-covered road. The present paper proposes a self-localization system for snowy roads when the roadsides are covered with snow. The system employs a four-layer laser scanner and onboard sensors and uses only pre-existing roadside snow poles provided for drivers in a snowy region without any other road infrastructure. Because the landscape greatly changes in a short time during a snowstorm and snow removal works, it is necessary to restrict the landmarks used for self-localization to tall objects, like snow poles. A system incorporating this technology will support a driver’s efforts to keep to a lane even in a heavy snowstorm.

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Acknowledgements

We would like to express our sincere gratitude for Mr. Kenji Kimura’s kind advices and cooperation in measuring and data processing. This work was supported by Japan Institute of Country-ology and Engineering (JICE 2017 and 2018).

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Correspondence to Tetsushi Mimuro.

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Mimuro, T., Taniguchi, N. & Takanashi, H. Concept Study of a Self-localization System for Snow-covered Roads Using a Four-layer Laser Scanner. Automot. Innov. 2, 110–120 (2019). https://doi.org/10.1007/s42154-019-00061-5

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  • DOI: https://doi.org/10.1007/s42154-019-00061-5

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