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Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles [article]

Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
2020 arXiv   pre-print
With the rapid development of intelligent vehicles and Advanced Driving Assistance Systems (ADAS), a mixed level of human driver engagements is involved in the transportation system.  ...  To advance the development of visual guidance systems, we introduce a novel sensor fusion methodology, integrating camera image and Digital Twin knowledge from the cloud.  ...  It has been researched for decades in the field of computer vision, but only in recent years, the algorithm performance has been significantly increased with the development of Deep Convolutional Neural  ... 
arXiv:2007.04350v1 fatcat:mhhivcufgjh7zocqok76riuibm

The DESERVE project: Towards future ADAS functions

Matti Kutila, Pasi Pyykonen, Paul van Koningsbruggen, Nereo Pallaro, Joshue Perez-Rastelli
2014 2014 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV)  
in reducing component costs and development time of future ADAS functions for modern vehicles.  ...  Both the process and the platform concept will be demonstrated with innovative ADAS functions in 3 passenger cars, 1 truck and 1 motorcycle.  ...  ACKNOWLEDGMENT The DESERVE project with grant agreement no. 295364.has been co-funded by the European Commission under the Artemis Joint undertaking and national funding bodies.  ... 
doi:10.1109/samos.2014.6893226 dblp:conf/samos/KutilaPKPP14 fatcat:posjz37x7ja3pd22obp3mnyccm

Facing ADAS validation complexity with usage oriented testing [article]

Laurent Raffaëlli, Frédérique Vallée, Guy Fayolle , Philippe De Souza, Xavier Rouah, Matthieu Pfeiffer, Stéphane Géronimi, Samia Ahiad
2016 arXiv   pre-print
Today, to test the camera-based ADAS, test vehicles are equipped with these systems and are performing long hours of driving that can last for years.  ...  Validating Advanced Driver Assistance Systems (ADAS) is a strategic issue, since such systems are becoming increasingly widespread in the automotive field.  ...  -Build an ADAS validation platform (model in the Loop and software in the loop) combining real and simulation environment data.  ... 
arXiv:1607.07849v1 fatcat:by225vatjrbqzmzmdukzxpgd6e

Overview and Empirical Analysis of ISP Parameter Tuning for Visual Perception in Autonomous Driving

Lucie Yahiaoui, Jonathan Horgan, Brian Deegan, Senthil Yogamani, Ciarán Hughes, Patrick Denny
2019 Journal of Imaging  
The rise in prominence of autonomous driving and computer vision brings to the fore research in the area of the impact of image quality in camera perception for tasks such as recognition, localization  ...  Image quality is a well understood concept for human viewing applications, particularly in the multimedia space, but increasingly in an automotive context as well.  ...  These tests will be rerun in the future with raw images by tuning an ISP.  ... 
doi:10.3390/jimaging5100078 pmid:34460644 pmcid:PMC8321211 fatcat:xfjotfq72za6vev6epmmtycvxy

Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study [article]

Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H.L. Hansen
2021 arXiv   pre-print
In the case study, a multi-layer perceptron algorithm is proposed with modified lane change prediction approaches.  ...  To advance the development of visual guidance systems, we introduce a novel vision-cloud data fusion methodology, integrating camera image and Digital Twin information from the cloud to help intelligent  ...  cloud-based ADAS.  ... 
arXiv:2112.04042v1 fatcat:qtsro7gey5cw3nd3o6six5lz54

An Efficient System for Forward Collison Avoidance Using Low Cost Camera & Embedded Processor in Autonomous Vehicles

Manoj C R
2017 Advanced Computational Intelligence An International Journal (ACII)  
The increasing resolution of camera sensors, processing capability of hardware chipsets and advances in image processing algorithms, have been pushing the camera based features recently.  ...  Forward Collision Avoidance (FCA) systems in automobiles is an essential part of Advanced Driver Assistance System (ADAS) and autonomous vehicles.  ...  ACKNOWLEDGEMENTS The author would like to thank Mr.Rajarama Nayak, head of TCS innovation labs for his guidance and support.  ... 
doi:10.5121/acii.2017.4201 fatcat:s3cl76wm2rfgnistxkhlxtprr4

Development of ADAS perception applications in ROS and "Software-In-the-Loop" validation with CARLA simulator

Stevan Stević, Momčilo Krunić, Marko Dragojević, Nives Kaprocki
2020 Telfor Journal  
Vision based lane detection, which is one of the prototypes, is also tested in a real world scenario to demonstrate the applicability of algorithms developed with simulators to real-time processing  ...  The risk of testing implemented solutions in real world is high, expensive and time consuming. This is the reason for virtual automotive simulation tools for testing are heavily acclaimed.  ...  As already mentioned, the following algorithm is tested in a real urban street scenario by placing the dash camera in front of the real car.  ... 
doi:10.5937/telfor2001040s fatcat:znwrmah7wrfofpoakjgnaitpku

Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments

Yue Kang, Hang Yin, Christian Berger
2019 IEEE Transactions on Intelligent Vehicles  
His research expertise is on distributed realtime software, microservices for embedded systems and cyberphysical systems, and continuous integration/deployment/experimentation for embedded systems.  ...  ACKNOWLEDGMENT The authors would like to thank O. Benderius and Y. Yu for their valuable comments.  ...  situations or for training and testing machine-learning (ML)based algorithms.  ... 
doi:10.1109/tiv.2018.2886678 fatcat:yxvl56ktwfgklielhdvm6234su

Development of Lane keeping Controller Using Image processing

Moveh Samuel, Maziah Mohamad, Mohamed Hussein, Shaharil Mad Saad
2018 International Journal of Computing and Network Technology  
All simulation study of controller was based on the developed model in MATLAB environment while for experimental study; a scale vehicle was developed and used as a platform to test the lane keeping algorithm  ...  and also suggested the inclusion of an Integral term I in an uncontrolled environment.  ...  Fig 1 illustrates the methodology adopted for the development of the lane keeping algorithm using image processing.  ... 
doi:10.12785/ijcnt/060303 fatcat:hqwzkc6zwvhelnt3jjacsp2rmy

On Driver Behavior Recognition for Increased Safety: A Roadmap

Luca Davoli, Marco Martalò, Antonio Cilfone, Laura Belli, Gianluigi Ferrari, Roberta Presta, Roberto Montanari, Maura Mengoni, Luca Giraldi, Elvio G. Amparore, Marco Botta, Idilio Drago (+3 others)
2020 Safety  
In this paper, we first review the state-of-the-art of emotional and cognitive analysis for ADAS: we consider psychological models, the sensors needed for capturing physiological signals, and the typical  ...  Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the automotive domain, yet current ADASs notably operate without taking into account drivers' states, e.g., whether she/he is  ...  This methodology is widely used in the Computer Vision (CV) field. Facial expression classifiers can be either geometric-based or appearance-based.  ... 
doi:10.3390/safety6040055 fatcat:rntcjtvwkjaa5mrxsc2lji5kdy

A generalized model of an adaptive information-control system of a car with multi-sensor channels of information interaction

Denis O. Kotov
2022 Applied Aspects of Information Technology  
e analysis of existing technologies for the development and implementation of vehicle control systems based on the automation of their functionality in accordance with the standard of the Society of Automotive  ...  of information processing in the conditionsof a priori uncertainty are substantiated.In this study, the structure of an adaptive robotic complex with an information-controlled vehicle control system is  ...  In the given model variant of the ground-based RTC, adaptation is organized in the form of a double-loop control loop (Fig. 9 ).  ... 
doi:10.15276/aait.05.2022.2 fatcat:7ee5pftopzfsjjj6m5qo2ib7v4

Simulation and Validation with Radio-Controlled (RC) Autonomous Vehicles in Roundabout Situation

Csanád Ferencz, Máté Zöldy
2022 Periodica Polytechnica Transportation Engineering  
investigation concerning the simulation and validation of roundabout situation with radio-controlled (RC) autonomous vehicles, as well as the examination of RC vehicles' applicability in the testing processes  ...  In the present research paper, the authors provide an extensive overview about a so far uninvestigated approach regarding the research and development (R&D) of Autonomous Vehicle Technologies, an exhaustive  ...  Acknowledgment The realization of this present scientific research project would not have been possible without the support of the Department of Automotive Technologies of the Budapest University of Technology  ... 
doi:10.3311/pptr.15730 fatcat:ne66iebsgff2bbylummlbekxnm

Highly automated driving on highways: System implementation on PC and automotive ECUs

Benoit Vanholme, Benoit Lusetti, Dominique Gruyer, Sebastien Glaser, Said Mammar
2011 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)  
HAVEit is project 212154 of the 7th Framework Programme (FP7) for the unit ICT for Transport of Directorate-General Information Society and Media (INFSO) of the European Commission.  ...  ACKNOWLEDGMENT The authors would like to thank the HAVEit and ABV projects for funding this work.  ...  After a software-in-the-loop (SIL) bottom-up test and validation, a new V-cycle is performed with hardware-in-the-loop (HIL) bottom-up tests and validation on test vehicle and test track, as indicated  ... 
doi:10.1109/itsc.2011.6083143 dblp:conf/itsc/VanholmeLGGM11 fatcat:de35znfidrd6tmc2tmm7rffe5q

Absolute Localization using Visual Data for Autonomous Vehicles

Safa Ouerghi, Rémi Boutteau, Pierre Merriaux, Nicolas Ragot, Xavier Savatier, Pascal Vasseur
2016 Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
In this paper, we propose an algorithm for estimating the absolute pose of a vehicle using visual data.  ...  The main advantages of our method are that the localization of the vehicle is absolute and that it requires only a monocular camera and a low-cost GPS.  ...  VI-ATIC has been funded by the French Armaments Procurement Agency (DGA) and managed by the French National Research Agency (ANR) under the ASTRID-MATURATION 2014 call.  ... 
doi:10.5220/0005682105950601 dblp:conf/visapp/OuerghiBMRSV16 fatcat:xceh76euivgaradmzx756lrq7y

The data conundrum: compression of automotive imaging data and deep neural network based perception

Pak Hung Chan, Georgina Souvalioti, Anthony Huggett, Graham Kirsch, Valentina Donzella
2021 London Imaging Meeting  
We have considered the deployment of deep neural networks to implement object (i.e. vehicle) detection based on compressed video camera data extracted from the KITTI MoSeg dataset.  ...  Video compression in automated vehicles and advanced driving assistance systems is of utmost importance to deal with the challenge of transmitting and processing the vast amount of video data generated  ...  The Authors thank Juan Espineira and Jakobus Groenewald for the Unreal visual rendering of University of Warwick campus in Fig. 1 .  ... 
doi:10.2352/issn.2694-118x.2021.lim-78 fatcat:n2iroywedfe6tatve3tw2e26ey
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