ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Depth-Sensor-Based Row-Following Method for Autonomous Driving of Agricultural Vehicles
Cited - time in scopus Share share facebook twitter linkedin kakaostory
Authors
Soohwan Song, Wonpil Yu
Issue Date
2021-10
Citation
International Conference on Control, Automation and Systems (ICCAS) 2021, pp.1-1
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
In this paper, we present an autonomous driving method based on low-price depth sensors for agricultural vehicles. This method first extracts drivable regions from depth maps and then determines moving directions for autonomous driving. This method enables an agricultural vehicle to safely navigate between plant rows in orchard environments without additional expensive sensors such as global navigation satellite system (GNSS) or laser scanner.
KSP Keywords
Agricultural vehicle, Depth Map, Depth sensor, Driving method, autonomous driving, global navigation satellite system(GNSS), laser scanner