The subject of vinbot navigationtestsjuly2015 map based navigation encompasses a wide range of important elements. Autonomous hybrid gps/reactive navigation of an unmanned ground vehicle .... In this paper, we present a hybrid reactive/GPS basednavigation scheme tested successfully in vineyard navigation. (PDF) Vineyard yeld estimation by VINBOT robot - preliminary results .... In this paper we aim to present preliminary results obtained in the frame of an European research project (VINBOT: "Autonomous cloud-computing vineyard robot to optimise yield management and wine quality") focus on yield estimation.
AUTONOMOUS CLOUD-COMPUTING VINEYARD ROBOT TO OPTIMISE YIELD ... In this context, using the web-based yield maps generated by the Vinbot system, winegrowers and associations can centralize and coordinate yield management throughout their members' vineyards. VINBOT robot proposes a novel hybrid reactive/waypoint based navigation architecture, tested successfully in vineyard navigation. Local Motion Planner for Autonomous Navigation in Vineyards with ...
In this context, this study presents a low-cost, power-efficient local motion planner for autonomous navigation in vineyards based only on an RGB-D camera, low range hardware, and a dual layer control algorithm. GiESCO2017_Professional_FTM_2909_Orals - repositorio.ulisboa.pt. This paper aims to present some results of the EU VINBOT (Autonomous cloud-computing vineyard robot to optimize yield management and wine quality) project focused on vineyard yield estimation.
VINBOT – an unmanned ground vehicle for precision viticulture. Research is ongoing in order to test the platform and machine vision algorithms in other varieties and vineyard plots and to overcome the bias related to the A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards. In this paper, we have presented a simple and eficient map-free LiDAR-based navigation system designed for vine-yard applications.
In this context, our approach relies on the geometrical structure of the environment and does not require a pre-built map or GNSS measurements. Autonomous Navigation in Vineyards with Deep Learning at the Edge. In this context, we present a low-cost solution for an autonomous navigation in vineyards rows using only a camera sensor and an edge computing platform.
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