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Data Augmentation Technology Driven By Image Style Transfer in Self-Driving Car Based on End-to-End Learning

Dongjie Liu, Jin Zhao, Axin Xi, Chao Wang, Xinnian Huang, Kuncheng Lai, Chang Liu
2020 CMES - Computer Modeling in Engineering & Sciences  
With the advent of deep learning, self-driving schemes based on deep learning are becoming more and more popular.  ...  Finally, we built a small-sized smart car experiment platform, and apply the data augmentation technology based on image style transfer drive to the experiment of automatic driving for the first time.  ...  Then we explored the application of this image style migration-driven data augmentation technology in self-driving cars based on end-to-end learning.  ... 
doi:10.32604/cmes.2020.08641 fatcat:dsaa2jjv35fz7bzk6nfxq46jxu

INTELLECTUAL OPERATIONS DEVELOPMENT THROUGH LANGUAGE ACQUISITION AT A TECHNICAL UNIVERSITY

Ludmila Ivanova, Ludmila Repkina
2021 Journal of Teaching English for Specific and Academic Purposes  
These operations ensure critical data selection during relevant engineering information search contained in digital engineering environment.  ...  This paper deals with the idea of efficient intellectual operations development required for students to be successful at acquiring information via IT tools and learning a foreign language.  ...  But self-driving cars won't hit the road anytime soon, except for test drives. Still, major automakers such as Nissan have suggested they could have autonomous cars ready for dealerships by 2022.  ... 
doi:10.22190/jtesap2101085i fatcat:pmw7tjpjkrcjja5t257tcwwomm

A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems [article]

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2022 arXiv   pre-print
In this paper, we aim to design a search based framework, named AmbieGen, for generating diverse fault revealing test scenarios for autonomous cyber physical systems.  ...  The framework should be applicable to generating different types of environments. To generate the test scenarios, we leverage the NSGA II algorithm with two objectives.  ...  Examples include drone swarms, self driving cars, cave or underwater exploring robots.  ... 
arXiv:2203.12138v1 fatcat:2r6kpk3tobgxlfmjiwilr6dlnq

Industry and Object Recognition: Applications, Applied Research and Challenges [chapter]

Yutaka Hirano, Christophe Garcia, Rahul Sukthankar, Anthony Hoogs
2006 Lecture Notes in Computer Science  
Assume any liabilities with respect to the use of, or for damages resulting from the use of, any information, apparatus, method or process disclosed in this report.  ...  Makes any warranty or representation, expressed or implied, with respect to the use of any information contained in this report, or that the use of any information, apparatus, method, or process disclosed  ...  content management; internet search engines; video surveillance and video conference archiving and management; and advanced object-based image coding.  ... 
doi:10.1007/11957959_3 fatcat:3gu4uyp245dnljpa2ogtbdzj2u

Artificial Intelligence in Logistics

László Kota
2019 Advanced Logistic Systems - Theory and Practice  
Their use in logistics is becoming more and more widespread, just think of self-driving cars and trucks.  ...  algorithms also use optimizations based on searches  ...  The neural networks have been extensively used since then in almost all segments of the artificial intelligence, including the field of self-driving cars, to identify and classify visual information.  ... 
doi:10.32971/als.2019.004 fatcat:7ujxkbg4czcl5kxl3hf4iq3q6q

ENABLE-S3 – Advanced V&V technologies and methods combined with simulation and testing environments enable the safe and secure development of Autonomous Vehicles

Horst Pflügl, Andrea Leitner, Hannes Schneider
2018 Zenodo  
The ENABLE-S3 project develops verification and validation technologies and methods that will help to tackle this challenge with reasonable efforts and high coverage of test-cases. 71 partners from different  ...  But this goes also along with new heavy-weight challenges in terms of safety and security aspects.  ...  to tackle the problem and make huge steps forward in the direction of self-driving cars.  ... 
doi:10.5281/zenodo.1451349 fatcat:4xvewfkwwrembhlo5psinetim4

The Modeling of Super Deep Learning Aiming at Knowledge Acquisition in Automatic Driving

Yin Liang, Zecang Gu, Zhaoxi Zhang, Gopal Chaudhary
2022 Computational Intelligence and Neuroscience  
It is also challenging to resolve the networks that automatic driving is relied on and to improve the performance of GPU chips on complex driving environments.  ...  In this paper, we proposed a new theory of solving the multitarget control problem by introducing a machine learning framework in automatic driving and implementing the acquisition of excellent drivers  ...  platform, such as the self-driving car testing using search-based procedural content generation [18, 19] .  ... 
doi:10.1155/2022/8928632 pmid:35437438 pmcid:PMC9013314 fatcat:tupmjxrk5zag7mgjei5r64eqw4

Misbehaviour Prediction for Autonomous Driving Systems [article]

Andrea Stocco, Michael Weiss, Marco Calzana, Paolo Tonella
2019 arXiv   pre-print
Our approach SelfOracle is based on a novel concept of self-assessment oracle, which monitors the DNN confidence at runtime, to predict unsupported driving scenarios in advance.  ...  SelfOracle uses autoencoder and time-series-based anomaly detection to reconstruct the driving scenarios seen by the car, and determine the confidence boundary of normal/unsupported conditions.  ...  [13] propose AsFault, a search-based test generator for autonomous vehicles based on procedural content generation.  ... 
arXiv:1910.04443v1 fatcat:rp3o6lp3fvcgtbsagnw7hn4d2e

Critical Analysis on the NHTSA Acceptance Criteria for In-Vehicle Electronic Devices

Tuomo Kujala, Annegret Lasch, Jakke Mäkelä
2014 Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI '14  
We tested a commercial in-car navigation system prototype against the NHTSA criteria for acceptance testing of in-vehicle electronic devices, in order to see what types of in-car tasks fail the acceptance  ...  We suggest the visual occlusion method for finding a driving scenario that corresponds better with real-life driving in visual demands as well as for standardizing the visual demands of the scenario when  ...  ACKNOWLEDGMENTS Our thanks to the OPTIMUM (Optimal Multitasking with Ubiquitous Media) research project funded by TEKES (Finnish Funding Agency for Technology and Innovation).  ... 
doi:10.1145/2667317.2667322 dblp:conf/automotiveUI/KujalaLM14 fatcat:puyewuivcvh3bpszbgjzo4bbyy

Detailed analysis of distraction induced by in-vehicle verbal interactions on visual search performance

Kazumitsu Shinohara, Takahiro Nakamura, Seiji Tatsuta, Youichi Iba
2010 IATSS Research  
We examined the negative effect of in-vehicle verbal interaction on visual search performance.  ...  Twenty participants performed a primary visual search task and a secondary verbal interaction task concurrently.  ...  Procedure and design Participants were given approximately 1.5-h training sessions to become familiar with the car navigation system and learn how to operate it.  ... 
doi:10.1016/j.iatssr.2010.06.004 fatcat:j2eck7ogkngb3jdl3v2n7nsvwq

Applications of Augmented Reality for the Automotive Industry [chapter]

Vincent Gay-Bellile, Steve Bourgeois, Dorra Larnaout, Mohamed Tamaazousti
2015 Fundamentals of Wearable Computers and Augmented Reality, Second Edition  
Application of AR not only limited for car manufacturer but also for customer. Customer can do self-vehicle maintenance at their own home with mobile AR application.  ...  With AR being mobile, car manufacturer is focusing into selfexperience features and learn enhancement for user's safety and driving experience using handheld devices with high tech features.  ... 
doi:10.1201/b18703-21 fatcat:kmopiwbsmjbkbibyvb4t2x6u6q

What technology enabled services impact business models in the automotive industry? An exploratory study

Alexia Athanasopoulou, Mark De Reuver, Shahrokh Nikou, Harry Bouwman
2019 Futures : The journal of policy, planning and futures studies  
the realisation of self-driving cars, increased use of data and data analytics, sensors to enable car components to connect to the Internet-of-Things and the use of alternative energy sources, such as  ...  These are services at the level of the end-user, while more fundamental technology-based innovations, such as electrical driving, autonomous driving and Internet-of-Things applications, are scattered over  ...  The content herin reflects only the authors' view. The European Commission is not responssible for any use that may be made of the information it contains.  ... 
doi:10.1016/j.futures.2019.04.001 fatcat:ia4js5ocnncqlbf5z7s7dujdvu

Measuring Distraction at the Levels of Tactical and Strategic Control: The Limits of Capacity-Based Measures for Revealing Unsafe Visual Sampling Models

Tuomo Kujala, Pertti Saariluoma
2011 Advances in Human-Computer Interaction  
distraction while searching textual information on in-car display.  ...  Three driving simulation experiments with 61 participants were organized to evaluate which kind of measures could be used to analyze drivers' tactical visual sampling models and the related effects of  ...  The driving simulation environment was developed by a grant from Henry Ford Foundation.  ... 
doi:10.1155/2011/594353 fatcat:a3uaki54d5c2nln3ymzhlhlvne

The Autonomous Shopping-Guide Robot in Cashier-Less Convenience Stores

Po-Han Lin, Cheng-Yi Lin, Chen-Ting Hung, Jen-Jee Chen, Jia-Ming Liang
2020 Proceedings of Engineering and Technology Innovation  
The robot is a self-propelled vehicle developed by ROS (Robot Operating System), in which we achieve the automatic driving via image recognition, April tag identification and driving direction guidance  ...  In conjunction with the vocal service, the robot can notify the customer when arriving at each commodity, he or she plans to buy.  ...  The shopping cart robot is a self-propelled vehicle developed by open source software ROS, in which the automatic driving is achieved via image recognition.  ... 
doi:10.46604/peti.2020.3961 fatcat:i5nkw75zhffh5he5z3qxqiixuy

Page 888 of Mechanical Engineering Vol. 54, Issue 12 [page]

1932 Mechanical Engineering  
Review of practice relat ing to auxiliaries self-priming centrifugal pumps RAIL MOTOR CARS GASOLINE-ELECTRIC. 900-Hp. Rail Car for Santa Fe.  ...  Aerodynamic experiences with external shapes of rail motor cars; model test at Issy-les Moulineaux wind tunnel by Compagnie des Chemins de fer du Midi; efficiency of aerodynamic brake RIVETING MACHINES  ... 
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