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Titel:

2D LiDAR based object detection and tracking on a moving vehicle

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Soitinaho, Riikka; Moll, Marcel; Oksanen, Timo
Abstract:
Environment perception is an important capability for fully autonomous operation of agricultural machinery. High-precision work requires perception systems that are able to locate objects with high and specified accuracy. In this paper, we present an object detection and tracking system in a global coordinate frame based on 2D LiDAR data and RTK-GNSS positioning. The LiDARs and the RTK-GNSS device are installed on a tractor that is moving while the data is recorded. The final mapping result is c...     »
Stichworte:
agricultural machinery tractors perception sensing object detection tracking accuracy
Kongresstitel:
7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture AGRICONTROL 2022
Zeitschriftentitel:
IFAC-PapersOnLine
Jahr:
2022
Band / Volume:
55
Heft / Issue:
32
Seitenangaben Beitrag:
66-71
Volltext / DOI:
doi:10.1016/j.ifacol.2022.11.116
Verlag / Institution:
Elsevier BV
E-ISSN:
2405-8963
Publikationsdatum:
01.01.2022
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