Research on obstacle detection and location of indoor robot based on LIDAR

Zou, Ailing; Lai, Jiancheng; Li, Zhenhua; Wang, Chunyong; Yan, Wei Qi; Ji, Yunjing

doi:10.1117/12.2504952

Search citation statements

Order By: Relevance

Paper Sections

Select...

Overview Of Single Sensor Sensing Technologies1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Yan, Z. et al [ 64 ] proposed an online learning framework based on 3D LiDAR scanning for human detection. Ailing Zou et al [ 65 ] proposed a nearest neighbor clustering algorithm based on the adaptive threshold to detect obstacles in the path of indoor robots by using 2D LiDAR.…”

Section: Overview Of Single Sensor Sensing Technologiesmentioning

confidence: 99%

A Review of Sensing Technologies for Indoor Autonomous Mobile Robots

Liu,

Wang,

Xie

et al. 2024

Sensors

View full text Add to dashboard Cite

As a fundamental issue in robotics academia and industry, indoor autonomous mobile robots (AMRs) have been extensively studied. For AMRs, it is crucial to obtain information about their working environment and themselves, which can be realized through sensors and the extraction of corresponding information from the measurements of these sensors. The application of sensing technologies can enable mobile robots to perform localization, mapping, target or obstacle recognition, and motion tasks, etc. This paper reviews sensing technologies for autonomous mobile robots in indoor scenes. The benefits and potential problems of using a single sensor in application are analyzed and compared, and the basic principles and popular algorithms used in processing these sensor data are introduced. In addition, some mainstream technologies of multi-sensor fusion are introduced. Finally, this paper discusses the future development trends in the sensing technology for autonomous mobile robots in indoor scenes, as well as the challenges in the practical application environments.

show abstract

Section: Overview Of Single Sensor Sensing Technologiesmentioning

confidence: 99%