The results of the innovation partnership “Innovative Car – Human Machine Interface (IC-HMI)” from Bosch with the University of Minho (UM) were presented at the beginning of July at Forum Braga, in an event called the Innovative Car Experience 2018.
It was with the completion of the INNOVCAR and iFactory projects that the second phase of UM’s partnership with Bosch was closed. This partnership, that has been started in 2013, promises to build the future of mobility.
The IC-HMI program involved more than 400 engineers and researchers and had an investment of 54.7 million euros, in what was the largest research and development contract ever celebrated in Portugal.
Group photo partnership Bosch – UM; Source: Innovative Car HMI
CCG participation in the IC-HMI program
The CCG – Centro de Computação Gráfica – participated in this IC-HMI program as a strategic partner of RDT, in several domains, such as:
- development and validation of human-machine interface concepts;
- training of human resources in the management of software development processes;
- localization systems for autonomous industrial vehicles;
- computer vision.
CCG, as a technology interface center for UM, was involved in its four applied research domains, in two INNOVCAR (human-machine interface innovation) projects, and four iFactory projects (laying the foundations for new manufacturing concepts).
The line of action INNOVCAR contemplates 13 research projects and focuses on the innovation of human-machine interfaces in automobiles. It aims to develop autonomous driving, with intelligent cars capable of capturing information about the surrounding world.
1) P06.08.09: Cockpit of the Future: HMI Concepts and Functions
Objective: to develop the concepts of interaction and functionality that are part of the cockpit of the future.
2) P10.13: Cloud Applications for Smart Cars
Objective: to build a new architecture and new cloud application development process for smart vehicles, as well as the materialization of three application prototypes that cover infotainment services in the context of smart cities.
The iFactory’s 15 research projects have developed improved methods in product manufacturing processes, with new concepts of assembly, packaging, new electronic formats of instructions, new techniques for the welding process, etc.
1) P19: Computerized Maintenance Management System
Objective: to develop a computerized maintenance management system.
In this project, the CCG, represented by its applied research domain cVIG, contributed to the implementation of a new augmented reality functionality capable of presenting in loco the maximum information available in the system/database, and in the development of web applications and services for access through mobile devices to information on spare parts, equipment, facilities and indicators.
2) P24: Milk Run Robot
Objective: the SAMU project aimed to transform conventional transport machines into autonomous vehicles, obtaining hybrid vehicles, which carry materials from one point to another of the plant, either manually or automatically.
It counted with the participation of applied research domain UMC of the CCG.
3) P25: IGPM – Integrated Global Project Management of Industrialization Projects
Objective: to improve the performance of the MFE1 unit of Bosch Car Multimedia Portugal, S.A., in Braga, in the development and management of industrialization projects.
The participation of the CCG in this project included the analysis to the support of IT tools in the management of industrialization projects; the design of the interoperability architecture; and the development of the prototype of the computer system for the management of industrialization projects.
4) P30: Business Intelligence Platform for Data Integration
Objective: to develop an integrated data system, which allows, through an iterative process, the implementation of the Organizational Data Warehouse, contributing to increasing the quality of the factory operations.
In this project, the CCG was involved in identifying the main data sources in the organization and data inventory and in proposing a data model for the Data Warehouse, among other tasks.