Sensing, perception, decision, planning and action of autonomous excavators

  • Eraliev, Oybek Maripjon Ugli
  • Lee, Kwang-Hee
  • Shin, Dae-Young
  • Lee, Chul-Hee
Citations

WEB OF SCIENCE

73
Citations

SCOPUS

88

초록

A significant advancement in automated driving technology and the deployment of it have noticeably increased the safety of humans in transportation, industry, and the construction field in the last several decades. As a result, the automated driving technology of an autonomous excavator has become a hot topic among researchers. This study provides the findings of a systematic review of the literature on automated driving and working systems of autonomous excavators published in the last two decades. This paper divides the autonomous system into five groups, namely sensing, perception, decision, planning, and action, and presents research gaps that are not yet well studied for each group. Furthermore, the review of publications presented in this paper is conducted with the aim of highlighting key challenges and contributions of the previous and ongoing research work in this field. Finally, the paper is concluded and provides a direction for future work in this area.

키워드

Automated driving and workingAutonomous excavatorsAutomationIntelligent excavatorCOMMONSENSE KNOWLEDGEHYDRAULIC EXCAVATORSCONSTRUCTION SITESROBOTIC EXCAVATORPOSE ESTIMATIONMODELEQUIPMENTWORKERSLIDAR
제목
Sensing, perception, decision, planning and action of autonomous excavators
저자
Eraliev, Oybek Maripjon UgliLee, Kwang-HeeShin, Dae-YoungLee, Chul-Hee
DOI
10.1016/j.autcon.2022.104428
발행일
2022-09
유형
Review
저널명
Automation in Construction
141