Title:
METHOD BY WHICH MOBILE ROBOT CROSSES CROSSWALK, AND MOBILE ROBOT
Document Type and Number:
WIPO Patent Application WO/2023/113352
Kind Code:
A1
Abstract:
A method by which a mobile robot crosses a crosswalk, and the mobile robot are disclosed. The method by which a mobile robot crosses a crosswalk, according to an embodiment of the present invention, comprises steps in which the mobile robot: detects the crosswalk; detects the movement of at least one pedestrian within a predetermined range from the crosswalk; determines, on the basis of the detected movement of the at least one pedestrian, whether the traffic lights of the crosswalk indicate a walking signal; and crosses the crosswalk if it is determined that the traffic lights indicate the walking signal.
Inventors:
LIM BYEONG HAK (KR)
Application Number:
PCT/KR2022/019673
Publication Date:
June 22, 2023
Filing Date:
December 06, 2022
Export Citation:
Assignee:
WOOWA BROTHERS CO LTD (KR)
International Classes:
B25J9/16; B25J5/00; B25J11/00; B25J13/08; B25J19/02
Foreign References:
| KR20210037419A | 2021-04-06 | |||
| KR20120075031A | 2012-07-06 | |||
| US20200215697A1 | 2020-07-09 | |||
| KR20210037419A | 2021-04-06 | |||
| KR20120075031A | 2012-07-06 | |||
| US20200215697A1 | 2020-07-09 |
Other References:
CHUGO DAISUKE; YAMADA SHUNSUKE; MURAMATSU SATOSHI; YOKOTA SHO; SHE JIN-HUA; HASHIMOTO HIROSHI: "Mobile Robot Navigation Considering How to Move with a Group of Pedestrians in a Crosswalk", 2021 14TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTION (HSI), IEEE, 8 July 2021 (2021-07-08), pages 1 - 7, XP033973821, DOI: 10.1109/HSI52170.2021.9538660
SHIGEMATSU ET AL.: "Recognition of Pedestrian Traffic Light at Crosswalk for a Mobile Robot Using Deep Learning", TRANSACTIONS OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, vol. 54, no. 1, 2018, pages 99 - 110, XP093073616
CHUGO DAISUKE; YAMADA SHUNSUKE; MURAMATSU SATOSHI; YOKOTA SHO; SHE JIN-HUA; HASHIMOTO HIROSHI: "Mobile Robot Navigation Considering How to Move with a Group of Pedestrians in a Crosswalk", 2021 14TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTION (HSI), IEEE, 8 July 2021 (2021-07-08), pages 1 - 7, XP033973821, DOI: 10.1109/HSI52170.2021.9538660
SHIGEMATSU KOSUKE, KONISHI YUICHI, MITSUDOME RYOSUKE, TSUBOUCHI TAKASHI: "Recognition of Pedestrian Traffic Light at Crosswalk for a Mobile Robot Using Deep Learning", TRANSACTIONS OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, vol. 54, no. 1, 1 January 2018 (2018-01-01), pages 99 - 110, XP093073616
SHIGEMATSU ET AL.: "Recognition of Pedestrian Traffic Light at Crosswalk for a Mobile Robot Using Deep Learning", TRANSACTIONS OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, vol. 54, no. 1, 2018, pages 99 - 110, XP093073616
CHUGO DAISUKE; YAMADA SHUNSUKE; MURAMATSU SATOSHI; YOKOTA SHO; SHE JIN-HUA; HASHIMOTO HIROSHI: "Mobile Robot Navigation Considering How to Move with a Group of Pedestrians in a Crosswalk", 2021 14TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTION (HSI), IEEE, 8 July 2021 (2021-07-08), pages 1 - 7, XP033973821, DOI: 10.1109/HSI52170.2021.9538660
SHIGEMATSU KOSUKE, KONISHI YUICHI, MITSUDOME RYOSUKE, TSUBOUCHI TAKASHI: "Recognition of Pedestrian Traffic Light at Crosswalk for a Mobile Robot Using Deep Learning", TRANSACTIONS OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, vol. 54, no. 1, 1 January 2018 (2018-01-01), pages 99 - 110, XP093073616
Attorney, Agent or Firm:
SHIM, Choong Sup (KR)
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