Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera

07/27/2021
by   Erkin Türköz, et al.
7

This paper proposes a concept of computer vision-based guidance assistance for agricultural vehicles to increase the accuracy in plowing and reduce driver's cognitive burden in long-lasting tillage operations. Plowing is a common agricultural practice to prepare the soil for planting in many countries and it can take place both in the spring and the fall. Since plowing operation requires high traction forces, it causes increased energy consumption. Moreover, longer operation time due to unnecessary maneuvers leads to higher fuel consumption. To provide necessary information for the driver and the control unit of the tractor, a first concept of furrow detection system based on an RGB-D camera was developed.

READ FULL TEXT

Authors

page 2

page 3

page 4

page 5

page 6

04/28/2015

Embedded Platforms for Computer Vision-based Advanced Driver Assistance Systems: a Survey

Computer Vision, either alone or combined with other technologies such a...
04/26/2021

Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances

Vision-based driver assistance systems is one of the rapidly growing res...
03/21/2022

Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks

Advanced driver assistance and automated driving systems should be capab...
08/31/2020

Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles

With the development of advanced communication technology, connected veh...
09/30/2019

On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations and Insights

Automobiles for our roadways are increasingly utilizing advanced driver ...
04/19/2021

Vision-Based Guidance for Tracking Dynamic Objects

In this paper, we present a novel vision-based framework for tracking dy...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.