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Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence

Fei-Yue Wang, Nan-Ning Zheng, Dongpu Cao, Clara Marina Martinez, Li Li, Teng Liu
2017 IEEE/CAA Journal of Automatica Sinica  
This study first introduces the CPSS and ACP-based intelligent machine systems.  ...  Then the parallel driving is proposed in the cyber-physical-social space, considering interactions among vehicles, human drivers, and information.  ...  Driving Style Recognition Algorithm Driving style is essential to guarantee safe and efficient driving in level 0 automation vehicles, and important requirement to guarantee human acceptance of higher  ... 
doi:10.1109/jas.2017.7510598 fatcat:qsccnkayzfhazgkkixgl77m43u

Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving [article]

Teng Liu, Yang Xing, Long Chen, Dongpu Cao, Fei-Yue Wang
2020 arXiv   pre-print
Parallel driving is a novel framework to synthesize vehicle intelligence and transport automation. This article aims to define digital quadruplets in parallel driving.  ...  The presented digital quadruplets in parallel driving are expected to make the future connected automated driving safety, efficiently and synergistically.  ...  To enhance the ability of automated cars, a combination of virtual and real driving framework is proposed and shown in the 29th IEEE International intelligent vehicle conference (IEEE IV 2018).  ... 
arXiv:2007.14248v1 fatcat:dws52dyg4jhfxc7vlbw5dcabky

From Intelligent Vehicles to Smart Societies: A Parallel Driving Approach

Fei-Yue Wang, Yong Yuan, Juanjuan Li, Dongpu Cao, Lingxi Li, Petros A. Ioannou, Miguel Angel Sotelo
2018 IEEE Transactions on Computational Social Systems  
EMEWS combines novel stateful tasks with traditional run-tocompletion many-task computing and solves many problems relevant to high-performance workflows, including scaling to very large numbers (millions  ...  The driver state/behavior/intention and joint cognition can be monitored in this world and driver-vehicle shared control can also be decided.  ... 
doi:10.1109/tcss.2018.2862058 fatcat:u2dapmjsr5hafaas7ztavgq7di

The key technology toward the self-driving car

Jianfeng Zhao, Bodong Liang, Qiuxia Chen
2018 International Journal of Intelligent Unmanned Systems  
Purpose -The successful and commercial use of self-driving/driverless/unmanned/automated car will make human life easier. The paper aims to discuss this issue.  ...  In this paper, the four key technologies in self-driving car, namely, car navigation system, path planning, environment perception and car control, are addressed and surveyed.  ...  The authors would like to thank the financial support from Shenzhen Science and Technology Innovation Committee (Nos JCYJ20160429145314252, JCYJ20160527162817715, JCYJ2016040 7160609492), Guangdong Provincial  ... 
doi:10.1108/ijius-08-2017-0008 fatcat:zzpxwg77ezg35pf7ssuhbyixru

Conceptualisation of human-on-the-loop haptic teleoperation with fully autonomous self-driving vehicles in the urban environment

Kaya Kuru
2021 IEEE Open Journal of Intelligent Transportation Systems  
Human-on-the-loop (HOTL) haptic teleoperation with an extension of human control and sensing capability by coupling with artificial sensors and actuators with an increased sense of real-time driving in  ...  The automotive industry aims to deploy commercial level-5 fully autonomous self-driving vehicles (FA-SDVs) in a diverse range of benefit-driven concepts on city roads in the years to come.  ...  in which humans and machines are rivals and competing to grab the other's job [9] .  ... 
doi:10.1109/ojits.2021.3132725 fatcat:yiwpuswmq5gnjma5k3kvezntmy

Inter-Vehicular Communication Towards Cooperative Driving (Dagstuhl Seminar 18202)

Onur Altintas, Suman Banerjee, Falko Dressler, Geert Heijenk, Michael Wagner
2018 Dagstuhl Reports  
We were particularly interested in eSafety applications and traffic efficiency applications that are thought to yield substantial benefits for the emerging "cooperative automated driving" domain.  ...  processing, communication networks), and automated driving (mechanical engineering, image processing, control theory), to discuss the most challenging issues related to inter-vehicular communication and  ...  Human-in-the-Loop Human-in-the-Loop Despite the many advances in the fields of automated driving, vehicular networking, and now cooperative driving, one major component of the next generation transportation  ... 
doi:10.4230/dagrep.8.5.31 dblp:journals/dagstuhl-reports/AltintasBDH18 fatcat:t6gely67oja4nic6wkroacxpci

Detecting Human Driver Inattentive and Aggressive Driving Behavior using Deep Learning: Recent Advances, Requirements and Open Challenges

Monagi H. Alkinani, Wazir Zada Khan, Quratulain Arshad
2020 IEEE Access  
The study of the effects of these factors that may lead to deterioration in the driving skills and performance of a human driver is out of the scope of this paper.  ...  Human drivers have different driving styles, experiences, and emotions due to unique driving characteristics, exhibiting their own driving behaviors and habits.  ...  ACKNOWLEDGMENT The authors acknowledge the technical and financial support of University of Jeddah.  ... 
doi:10.1109/access.2020.2999829 fatcat:5nxtzm6yfbe4jf6nqgreqw45r4

Where Is Computing Driving Cars?

Guy H. Walker, Neville A. Stanton, Mark. S. Young
2001 International Journal of Human-Computer Interaction  
In the next 5 to 15 years drive by wire and collision sensing are anticipated.  ...  In the long term, 15 years and beyond, advanced driver-assistance systems will increasingly automate the driving task, and in-car personal computers and Internet will be commonplace.  ...  In addition, AoF is optimized to smooth the integration and transition between the machine and human elements of the system, and furthermore that the design of automation loads attentional resources optimally  ... 
doi:10.1207/s15327590ijhc1302_7 fatcat:v6656jxxsjdblhpdpyirxbuopi

Automated Driving: A Literature Review of the Take over Request in Conditional Automation

Walter Morales-Alvarez, Oscar Sipele, Régis Léberon, Hadj Hamma Tadjine, Cristina Olaverri-Monreal
2020 Electronics  
In conditional automation (level 3), human drivers can hand over the Driving Dynamic Task (DDT) to the Automated Driving System (ADS) and only be ready to resume control in emergency situations, allowing  ...  Moreover, it compiles guidelines and standards related to automation in driving and highlights the research gaps that need to be addressed in future research, discussing also approaches and limitations  ...  A novel predictive haptic control interface for automation-to-human takeover of automated vehicles.  ... 
doi:10.3390/electronics9122087 fatcat:x2d42oex7fayxoegi3mjyrvuzu

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs [article]

Lauren M. Sanders
2021 arXiv   pre-print
to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life.  ...  , support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space.  ...  The next generation of AI models, neuromorphic computing, will closely mimic human neural structure and cognition in order to understand and predict outcomes in novel situations without context128.  ... 
arXiv:2112.12582v1 fatcat:qelzg32unnhd3j6ku7gdmrcbem

Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features [article]

Michael Herman, Jörg Wagner, Vishnu Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser
2021 arXiv   pre-print
Automated vehicles require a comprehensive understanding of traffic situations to ensure safe and anticipatory driving.  ...  Based on human driving behavior we then derive appropriate reaction patterns of an automated vehicle and determine requirements for the prediction of pedestrians.  ...  In Sec. IV, we analyze pedestrian-vehicle interactions to determine human driving behavior and to derive requirements on pedestrian prediction for automated driving.  ... 
arXiv:2012.08418v2 fatcat:x5lk22k5tnauphp5vsriktgyoa

Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications [article]

Teng Liu, Xing Yang, Hong Wang, Xiaolin Tang, Long Chen, Huilong Yu, Fei-Yue Wang
2020 arXiv   pre-print
Digital quadruplets aiming to improve road safety, traffic efficiency, and driving cooperation for future connected automated vehicles are proposed with the enlightenment of ACP based parallel driving.  ...  The three virtual vehicles (descriptive, predictive, and prescriptive) dynamically interact with the real one in order to enhance the safety and performance of the real vehicle.  ...  To solve the second problem, planning and control, as well as human-machine interface techniques will be employed to link the virtual and real vehicles.  ... 
arXiv:2007.10799v1 fatcat:tuoicil7d5cwzfr3ozymjdl6fe

Integrating vehicle design and human factors: minimizing elderly driving constraints

Susan A. Shaheen, Debbie A. Niemeier
2001 Transportation Research Part C: Emerging Technologies  
We describe recent ®ndings on the driving-related physical and cognitive impairments faced by the elderly.  ...  in some part to the physical in®rmities often faced by the elderly.  ...  Acknowledgements The authors would like to thank the anonymous reviewers for their thorough and insightful comments and suggestions.  ... 
doi:10.1016/s0968-090x(99)00027-3 fatcat:qqh5lqr6djhehkwea4bm6s7ywe

Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour [article]

Fanta Camara, Nicola Bellotto, Serhan Cosar, Florian Weber, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Gustav Markkula, Anna Schieben, Fabio Tango, Natasha Merat (+1 others)
2020 arXiv   pre-print
Autonomous vehicles (AVs) must share space with human pedestrians, both in on-road cases such as cars at pedestrian crossings and off-road cases such as delivery vehicles navigating through crowds on high-streets  ...  Planning AV actions in the presence of pedestrians thus requires modelling of their probable future behaviour as well as detection and tracking which enable such modelling.  ...  His research activity is focused on artificial intelligence and, in particular, on machine learning applied to solve problems in Automotive domain.  ... 
arXiv:2003.11959v1 fatcat:acjjwohahvdlxgy56j45fjtkdq

The psychology of driving automation: a discussion with Professor Don Norman

Neville A. Stanton, Mark S. Young, Guy H. Walker
2007 International Journal of Vehicle Design  
Introducing automation into automobiles had inevitable consequences for the driver and driving. Systems that automate longitudinal and lateral vehicle control may reduce the workload of the driver.  ...  Research in our laboratory suggests that there is unlikely to be any spare capacity because the attentional resources are not 'fixed'. Rather, the resources are inextricably linked to task demand.  ...  This is the sort of thing done today in laboratories of artificial intelligence and cognitive science, but we do not know how to solve this problem, for the general case.  ... 
doi:10.1504/ijvd.2007.014906 fatcat:2czm5bxyozanjmobxq7y7m6obm
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