scholarly journals Design of Human Computer Interfaces for Highly Automated Vehicles in the EU-Project HAVEit

2011 ◽  
pp. 270-279 ◽  
Author(s):  
Frank Flemisch ◽  
Anna Schieben ◽  
Nadja Schoemig ◽  
Matthias Strauss ◽  
Stefan Lueke ◽  
...  
Keyword(s):  
Automated Vehicles ◽  
Computer Interfaces ◽  
Human Computer Interfaces ◽  
Eu Project ◽  
The Eu

scholarly journals Development and Verification of Infrastructure-Assisted Automated Driving Functions

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2161
Author(s):  
Martin Rudigier ◽  
Georg Nestlinger ◽  
Kailin Tong ◽  
Selim Solmaz
Keyword(s):  
Driving Safety ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Human Driver ◽  
Decision Making Processes ◽  
Level 3 ◽  
Sensor Information ◽  
Vehicle Platoons ◽  
Eu Project ◽  
The Eu

Automated vehicles we have on public roads today are capable of up to SAE Level-3 conditional autonomy according to the SAE J3016 Standard taxonomy, where the driver is the main responsible for the driving safety. All the decision-making processes of the system depend on computations performed on the ego vehicle and utilizing only on-board sensor information, mimicking the perception of a human driver. It can be conjectured that for higher levels of autonomy, on-board sensor information will not be sufficient alone. Infrastructure assistance will, therefore, be necessary to ensure the partial or full responsibility of the driving safety. With higher penetration rates of automated vehicles however, new problems will arise. It is expected that automated driving and particularly automated vehicle platoons will lead to more road damage in the form of rutting. Inspired by this, the EU project ESRIUM investigates infrastructure assisted routing recommendations utilizing C-ITS communications. In this respect, specially designed ADAS functions are being developed with capabilities to adapt their behavior according to specific routing recommendations. Automated vehicles equipped with such ADAS functions will be able to reduce road damage. The current paper presents the specific use cases, as well as the developed C-ITS assisted ADAS functions together with their verification results utilizing a simulation framework.

scholarly journals Identification of Words and Phrases Through a Phonemic-Based Haptic Display

2021 ◽  
Vol 18 (3) ◽  
pp. 1-22
Author(s):  
Charlotte M. Reed ◽  
Hong Z. Tan ◽  
Yang Jiao ◽  
Zachary D. Perez ◽  
E. Courtenay Wilson
Keyword(s):  
Speech Communication ◽  
Haptic Display ◽  
Communication Aids ◽  
Remote Communication ◽  
Computer Interfaces ◽  
Speech Reception ◽  
Communication Device ◽  
Human Computer Interfaces ◽  
Sensory Impairments ◽  
Effective Transmission

Stand-alone devices for tactile speech reception serve a need as communication aids for persons with profound sensory impairments as well as in applications such as human-computer interfaces and remote communication when the normal auditory and visual channels are compromised or overloaded. The current research is concerned with perceptual evaluations of a phoneme-based tactile speech communication device in which a unique tactile code was assigned to each of the 24 consonants and 15 vowels of English. The tactile phonemic display was conveyed through an array of 24 tactors that stimulated the dorsal and ventral surfaces of the forearm. Experiments examined the recognition of individual words as a function of the inter-phoneme interval (Study 1) and two-word phrases as a function of the inter-word interval (Study 2). Following an average training period of 4.3 hrs on phoneme and word recognition tasks, mean scores for the recognition of individual words in Study 1 ranged from 87.7% correct to 74.3% correct as the inter-phoneme interval decreased from 300 to 0 ms. In Study 2, following an average of 2.5 hours of training on the two-word phrase task, both words in the phrase were identified with an accuracy of 75% correct using an inter-word interval of 1 sec and an inter-phoneme interval of 150 ms. Effective transmission rates achieved on this task were estimated to be on the order of 30 to 35 words/min.

scholarly journals Efficient and Consumer-Centered Item Detection and Classification with a Multicamera Network at High Ranges

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4818
Author(s):  
Nils Mandischer ◽  
Tobias Huhn ◽  
Mathias Hüsing ◽  
Burkhard Corves
Keyword(s):  
Machine Learning ◽  
Shop Floor ◽  
Unsupervised Segmentation ◽  
User Friendliness ◽  
Industrial Environment ◽  
Machine Learning Methods ◽  
Eu Project ◽  
Detection And Localization ◽  
Industrial Context ◽  
The Eu

In the EU project SHAREWORK, methods are developed that allow humans and robots to collaborate in an industrial environment. One of the major contributions is a framework for task planning coupled with automated item detection and localization. In this work, we present the methods used for detecting and classifying items on the shop floor. Important in the context of SHAREWORK is the user-friendliness of the methodology. Thus, we renounce heavy-learning-based methods in favor of unsupervised segmentation coupled with lenient machine learning methods for classification. Our algorithm is a combination of established methods adjusted for fast and reliable item detection at high ranges of up to eight meters. In this work, we present the full pipeline from calibration, over segmentation to item classification in the industrial context. The pipeline is validated on a shop floor of 40 sqm and with up to nine different items and assemblies, reaching a mean accuracy of 84% at 0.85 Hz.

Deep renovation up to zero energy through Add-ons: the ABRACADABRA Project

2019 ◽  
Author(s):  
Annarita Ferrante ◽  
Fabrizio Ungaro ◽  
Giovanni Semprini ◽  
Lorna Dragonetti ◽  
Elettra Agliardi ◽  
...  
Keyword(s):  
Cost Effective ◽  
Urban Environments ◽  
Zero Energy ◽  
Urban Context ◽  
Building Stock ◽  
Existing Building ◽  
The Real Estate ◽  
International Projects ◽  
Eu Project ◽  
The Eu

<p>and international projects</p><p>various EU H2020 projects</p><p>Though housing is one of the most energy consumer sectors, it is currently extremely underestimated, because of a clear investment gap due to economic, social and legislative barriers. The EU project ABRACADABRA (Assistant Building to Retrofit, Adopt, Cure And Develop the Actual Buildings up to zeRo energy, Activating a market for deep renovation) is based on the idea that the real estate value increase given by the appropriate densification strategy in urban environments could be an opportunity to activate a market for deep energy renovation. To prove the effectiveness of the strategy more than 70 case studies throughout the EU cities have been assessed by means of a cost-effective analysis. Basing on the parametric variation of the different values involved (cost of construction, energy, etc.) the benefit of this strategy has been proved in the majority of the different building types and contexts.</p><p>More interestingly, the ABRA strategy has been simulated and tested outside Europe in order to verify its scalability and the possibility of considering other non-energy related benefits in the renovation of the existing building stock. A specific study on the NYC urban context has been conducted to effectively adapt the strategy and combine the global drivers of energy consumption reduction and CO<span>2</span> emission reduction with the local need of combating flood emergency and related flood-proofing measures.</p><p>The results reached by this work demonstrate how the energy retrofit trough add-ons reduces significantly the payback times of the investments, preserve soil consumption, while providing a extraordinary opportunity to enhance urban resiliency by challenging the local emergencies.</p>

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