TY  - JOUR
A1  - Hussein, Ahmed
A1  - Garcia, Fernando
A1  - Armingol, Jose Maria
A1  - Olaverri-Monreal, Cristina
T1  - P2V and V2P Communication for Pedestrian Warning on the basis of Autonomous Vehicles
JF  - Proceedings of the 19th International IEEE Conference on Intelligent Transportation Systems
KW  - Autonomous Driving
KW  - Pedestrians
Y1  - 2018
ER  - 
TY  - GEN
A1  - Hussein, Ahmed
A1  - Garcia, Fernando
A1  - Armingol, Jose Maria
A1  - Olaverri-Monreal, Cristina
T1  - P2V and V2P Communication for Pedestrian Warning on the basis of Autonomous Vehicles
KW  - Autonomous Driving
KW  - Pedestrian
Y1  - 2018
ER  - 
TY  - CHAP
A1  - Angel, Nikolaus
A1  - Orsolits, Horst
A1  - Garcia, Jose
T1  - Developing an AR Based Tool for Teaching Motion Analysis on Assembly Tasks
T2  - 2022 8th International Conference of the Immersive Learning Research Network (iLRN), 2022
N2  - Engineering education courses look into processes, equipment and people in order to prepare students to tackle problems in their careers. In manufacturing industry, it is important to use virtual manufacturing tools to analyse processes. This includes both equipment and people. Assembly operations can involve human operators. Modular arrangements of predetermined time standards MODAPTS is a predetermined motion time system method used to analyse assembly processes. Augmented reality (AR) is increasingly being used for industrial processes as well as in education. AR application have been used for maintenance training as a useful way to overly digital instructions to a trainee whilst being able to look at a real object. This is potential beneficial for education. This paper presents the evaluation of a prototype to test a predetermined time standards model using an AR application. An evaluation was carried out comparing AR-based instructions in tablet and PC monitor and paper-written instructions. The results of evaluating the prototype encourage their use as an educational tool in engineering courses.
KW  - Augmented Reality
KW  - Education Technology
KW  - Virtual Engineering
KW  - Assembly Assistance
Y1  - 
SN  - 978-1-7348-9952-8
U6  - http://dx.doi.org/10.23919/iLRN55037.2022.9815914
ER  -