PROJECT TITLE: DEVELOPMENT OF A DRIVER FORKLIFT FLAT WITH A SYNERGIC COOPERATION WITH NAVIGATION TECHNOLOGIES
Project ID: GINOP-2.2.1-15-2017-00097
Duration of the project: 02.10.2017. – 12/29/2020.
Consortium leader: GAMMA-DIGITAL Development and Service Limited Liability Company
Consortium partners: Pázmány Péter Catholic University, Óbuda University
Value of the support: $ 159,800
The project will develop driverless trucks and new fleet management systems using new technologies. With the help of new technological solutions, we are creating cheaper, more cost-effective and widely applicable systems that are less expensive than the current one. The novelty of the developed system lies in the localization primitives used, the adaptive sensor fusion methods used, and the routing and optimization methods used by forklifts.
Research and development goal
Our research and development goal is to develop a driverless fleet management solution and prototype that assumes several innovative components that are not yet available in this application:
Positioning based on a heterogeneous sensor park (radio frequency, laser scanner, machine vision and light signals) that provides the required accuracy indoors and outdoors, even on uneven ground.
On-board and system-level adaptive sensor fusion procedures that guarantee a smooth transition between the use of different localization technologies, for example, from indoors to outdoors.
Synchronized route optimization procedures to distribute floor pressure as evenly as possible to protect floor and truck wheels.
Dynamic route planning and track tracking solutions that guarantee that trucks can efficiently avoid each other on a variety of trails while still delivering on time.
Mapping (radio frequency and visual anchor points) and cooperative models supporting positioning and navigation functions for the exchange of information between forklifts to ensure sharing of their experience of environmental change, including terrain structure, soil roughness and road obstacles.
A framework for interoperability and knowledge sharing between forklifts that enables rapid, coordinated exploration of the environment during system deployment and operational processes, thereby seeking cost-effectiveness (eg using simpler sensors) and minimizing system downtime maintenance and management tasks.