ai in automotive 2021




AutoX makes retail-based autonomous vehicles. The company’s vehicles combine AI software, sensors, real-time cameras and thousands of test miles, both virtual and real, to ensure safe decisions on the road

Artificial Intelligence has the power to completely reform automotive manufacturing and make processes quicker and more efficient. The rising intelligence of robots may soon lead to the replacement of workers in many factories.

AI software in the car is connected to all the sensors and collects input from Google Street View and video cameras inside the car. The AI simulates human perceptual and decision-making processes using deep learning and controls actions in driver control systems, such as steering and brakes.

Trends in AI based Automotive Industry using Patent Analysis
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Until a few years ago, the key factor that led the car buyers were engines under the hood, now its their technology. These trends, introduced by a younger generation of drivers, are an increasingly important marketing factor. Thus, the choice of vehicles, access to

AI applications for automotive
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Conclusions. EfficientDet dominance demonstrated on COCO and ImageNet benchmarks should enable soon the new offerings from EOMs by deploying this architecture into automotive development platforms (Nvidia Xavier, NXP iMX, Renesas) to meet the market

Implications Of Artificial Intelligence In Manufacturing Industry With Special Focus On Automotive Manufacturing (Cars)
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6. IMPACTIONS OF AI IN AUTOMOTIVE MANUFACTURING In manufacturing industry apart from manufacturing use case for AI presently spread the whole driving experience. Here are a portion of the differing manners by which

Evaluating the impact of AIBased Personalization of Automotive User Interfaces in Fully Autonomous Vehicles
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This report is a part of my Master Thesis project for the Masters degree in Automotive Technology at Eindhoven University of Technology, Eindhoven, The Netherlands. I conducted this master thesis as a collaborative project between Eindhoven University ofcondition such as: In the automotive industry, AI applications can be considered to be regulated under different prospects in variable ways. In that case, the self-driven cars can be allocated as appropriate answers for the same(Strobel and In the automotive industry, AI

Malaysia Automotive Industry: Moving Toward Energy Efficient Vehicle Era Muhamad Syakir bin Shukor, Zuraidah Sulaiman, Thoo Ai Chin, Adaviah Mas od
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Throughout the globe, humankind is facing several environmental problems such as climate change, resources depletion loss of biodiversity and much more. Transportation has become one of the important human essentials and among the major contributors to the Page 1. Automotive Autonomy Technological change is the driving force behind the automotive industry. It has been securing the industrys existence since 1886 They represent major technological development steps. Audi AI is now going one step further

Impact of Silicon Carbide based Power Modules on Mission Profile Efficiency of Automotive Traction Inverters
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To investigate What are the benefits of replacing Si with SiC on the mission profile efficiency of Automotive traction inverters, without any influence from differences in system, package and operating conditions Proposed Method 𝐸sw = 𝑓 𝐼c .𝑓 𝑉dc .𝑓 𝑇j .𝑓 𝑅g ∗ .𝑓 𝐴I .𝑓(𝐴D)

Automotive Robotic Intelligence-A Sustainable Industrial Journey
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The article addresses industrial revolution, industrial automation, AI and automation, industrial automotive sectors, feasibility aspects, and predictions up to 2035. It is thrilling to see that a human clone in the shape of robot and the process is on to design a super human time-consuming proto- types. This is also called Road to Rig . This work contributes to the application of AI methods in the automotive development process using the example of a drivetrain test bench. The results of this study

IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE WITHIN AUTOMOTIVE INDUSTRY OF CHINA
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So this report will provide a detailed overview of the application of AI technologies within the automotive industry of China to overcome the problem of traffic congestion. Keywords Artificial Intelligence, Automotive China, Traffic Congestion, AI Enabled Vehicles Page 3. 177

Automotive speech intelligibility measurements
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In one study, vehicle level measurements indicated that the SII values are about 3 4% less than the AI values during a vehicle acceleration.4 Note that many automotive OEMs and suppliers have created their own talker levels and band importance functions

AI Chips: New Semiconductor Era
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This paper reviews about the competing technologies and the development trends of AI chips. KEY WORDS: Semiconductors, cutting-edge digital devices, artificial intelligence ( AI ), automotive sector, AI chips, smart homes and robotics I.INTRODUCTION

to Mitigate and Manage Supply Chain Effects of Demand Variations Communicated in Delivery Schedules-A Case Study of a Supplier in the Automotive
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Page 4. Advanced Analytics to Mitigate and Manage Supply Chain Effects of Demand Variations Communicated in Delivery Schedules A Case Study of a Supplier in the Automotive Industry LINUS HANSEN Page 101. 𝑑0 ≠ 0 FAI ∢= ∑ π‘Žπ‘– π‘šπ‘Žπ‘₯ {0;1 − |βˆ†π‘–| 𝑑0 } 𝑛 𝑖=0

IDENTIFICATION OF LEYDERMAN FUNCTIONS WHEN CALCULATING AUTOMOTIVE ENGINES
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of the engine when solving problems of development and moderni- zation of automotive systems. Keywords: estimation, automobile engine, external speed characteristic, least squares method, dispersion, error, criterion. BIBLIOGRAPHY 1. Kolchin, AI Raschet avtomobilnykh i

Sound Pressure Level Spectra of Automotive Side-View Mirror Models Deduced From Time-Resolved Three-Dimensional Particle Tracking Velocimetry Data
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KCK supervised experiments, AI frameworks and proof-reading of the manuscript. All authors reviewed the manuscript. Competing interests The authors declare no competing interests. References 1. Yu, C. (2017). Automotive Wind Noise Prediction using Deterministic Aero

Beyond cars: Fischer Tropsch synthesis for non- automotive applications
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A Journal of Title: Beyond cars: Fischer-Tropsch Synthesis for Non- Automotive Applications Authors: Jian Sun, Guohui Yang, Xiaobo Peng, Jincan Kang, Jinhu Wu, Guangbo Liu, and Noritatsu Tsubaki Beyond cars: Fischer-Tropsch Synthesis for Non- Automotive Applications

Classification and use of product related services in the automotive industry
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PRS Ωƒ SR ( AI ∩ PRS) Ωƒ PRS PRS Product related service range SR Service range AI Automotive industry Analog to the theory of inheritance of properties, a subset is described by subset features as well as by other specific features of the subset

SYNTHESIS OF EFFECTIVE ENVIRONMENTALLY FRIENDLY ADDITIVES FOR AUTOMOTIVE FUELS
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CONCLUSION The article is devoted to the synthesis and examination of additives for automotive fuels With the addition of isobutyl- tert-butyl ether in an amount of 1% to AI92 gasoline, the increase in the octane rating of gasoline is 7-8 points He concluded that to ensure high efficiency in the automotive industry AI techniques are vital Hirotec Group a Japanese automotive components manufacturer adopted machine learning and AI to tackle the perennial problem of unplanned downtime

AIBlueprint for Deep Neural Networks
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Actually, lately, AI has reached high attention among the automotive healthcare, or defense industry. This is due to the capabilities of AI during design (shorter time to market; implementation of implicit requirements) and during opera- tion (improved performance)Tools are required that help companies produce dependable software automation systems, robots, and AI The face of global politics is changing rapidly increasing concern over soverignity across key value chains such as in the aerospace and automotive industries

CAD-Automation in Automotive Development Potentials, Limits and Challenges
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Kreis, A.; Hirz, M.; Stadler, S.: A Contribution to Optimized Data Exchange Supporting Automotive Bodywork Engineering 14] Kreutzer, R.; Sirrenberg, M.: Understanding Artificial Intelligence Fundamentals, Use Cases and Methods for a Corporate AI Journey, Spring

The Impact of Sustainable Transition of Automation on Employees in the Automotive Sector and the Influence of Corona Pandemic
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AI and Jobs: the role of demand, NBER Working Paper No Future of Talent in Automotive Industry, Retrieved from https://www.peoplematters.in/news/skilling/future-of-talent-in- automotiveindustry- 17182 Page 8. 436 Review of International Comparative Management

Development and implementation of an automotive virtual assistant
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automotive infotainment system based on Android. The main goal is to develop an automotive virtual assistant using one of the most used and famous virtual assistant AI Amazon Alexa. The initial integration steps were already

MASTER OF SCIENCE DEGREE IN AUTOMOTIVE ENGINEERING
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POLITECNICO DI TORINO DIMEAS DEPARTMENT OF MECHANICAL AND AEROSPACE ENGINEERING MASTER OF SCIENCE DEGREE IN AUTOMOTIVE ENGINEERING ABSTRACT Enormous amounts of real-time data analyzed by using AIs analytical tools will improve

Putting Accountability of AI Systems into Practice
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etc.). The GAF can be implemented for different fields and use cases where two or more AI systems participate. A few exam- ples of its application could be: automotive motor insurance, manufacturing, and home automation

THE EVOLUTION OF THE AUTOMOTIVE INDUSTRY IN THE CONTEXT OF THE COVID-19 PANDEMIC
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214 THE EVOLUTION OF THE AUTOMOTIVE INDUSTRY IN THE CONTEXT OF THE COVID-19 PANDEMIC Alexandra-Ioana Lazăr, Ph. D. Student 90 Abstract: The COVID-19 pandemic had a major impact on the european automotive industry as demand for cars has fallen While the automotive industry and high-tech companies take the lead in AI adoption, adoption rates by retail and healthcare sectors, where AI provide the most significant value, are relatively moderate and low, respectively (Bughin et al. 2017)

Required safety component of automotive cyber-physical systems
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14:15 15:30 Regular Session 3: Infocommunication technologies, networks and services (IoT) 15:30 15:45 Coffee Break 15:45 17:00 Regular Session 4: Theoretical and Practical Aspects of AI AR 17:30 Gala Dinner October 7 Wednesday (Onsite)

Open standards enable continuous software development in the automotive industry
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One example is the recently announced partnership between Mercedes R and Nvidia R . Nvidia, with its roots in consumer electronics and gaming, has evolved to be a leading supplier in AI and brought its technology into the automotive domainPage 1. Renewable and Sustainable Materials in Automotive Industry Manojit Ghosh, Arkajit Ghosh, and Avinava carbon footprint levels. The automotive industry requires a huge bulk of raw materials, mostly metals. Depending on freshhealthcare are IBM, Microsoft, Google, and Intel. 8.2.2 Automotive One major implication of AI in automotive industry is self-driving cars, which is also known as a robot car, autonomous car, or driverless car(Thrun). Systems that are critical for driverless car include

Methods and Guidelines for Incorporating Human Factors Requirements in Automated Vehicles Development
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A framework that allows engineers ( AI /SE/ Automotive ) to leverage human factors perspective when building AI intense systems, to facilitate the Page 4. understanding, communication and VV of human factors requirements. 5. Novelty

ROLE OF SYSTEM ENGINEERING AND KNOWLEDGE MANAGEMENT IN THE PREPARATION OF ENGINEERING PERSONNELS FOR THE AUTOMOTIVE
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VS Podgotovka inzhenernykh kadrov dlya avtomobilnoy promyshlennosti: problemy i puti resheniya [Training engineering staff for the automotive industry: problems and solutions]. Inzhenernoye obrazovaniye. 201 no. 1 pp. 134 141. 10. Polovinkin AI Osnovy inzhenernogo

The AI problem: A Public Policy perspective
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contend with limited applications of AI eg autonomous vehicles in the automotive industry (Taeihagh Lim), they are faced with emerging issues of liability, data resources available to the more lucrative commercial sectors interested in AI ( automotive banking, IT)

De-Demonizing AI Regarding Localization
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Andrzej ZydroΕ„ CTO, XTM International Gerrards Cross azydron@xtm.cloud Abstract AI gets a lot of attention generally due to the stunning results that can be achieved, in fields such as medicine, automotive technology, diagnostic systems and of course translation

Modeling and Analysis of Nonlinear Axial Force Generated by Automotive Drive-shaft Systems Based on Fractal Theory
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1. Introduction As an important part of automotive transmission systems, the drive-shaft system can transfer the torque from the transmission to the wheel, and ensure the constant speed of the input and output ends at an articulation angle (11) where Ai is

Federated learning to enable automotive collaborative ecosystem: opportunities and challenges
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For automotive industries, this means the cars need to send large amounts of driving and monitoring data to the cloud, either in real-time or through periodical data copying. The advancing of AI and the interests on data availability have triggered

Building smarter cars with smarter factories: How AI will change the auto business
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Page 7. 7 DIGITAL MCKINSEY When it comes to implementing AI technology in the vehicles themselves, its not clear yet if it will play the same role as classic automotive technologies like ride, handling, and powertrain in helping auto companies differentiate their products

How Would AI Regulation Change Firms Behavior: Evidence from Thousands of Managers
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explainability (eg, diagnosis recommendation algorithms), and security (eg, use and protection of patient private information) of the AI /Machine Learning based software. For T2b ( Automotive Regulation) we specify that NHTSA emphasizes the importance of

Embedded AI Chips for Robust Deep Image Classification and its Applications
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for automotive industry applications. Technical Objectives 1) To develop low cost, less energy embedded Artificial Intelligence FPGA chips to monitor health, decode Genome and to embedded to Automobile. 2) Developing AI based techniques for video classification

How to meet the future requirements of the automotive industry
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Automotive Sector 36 E-Mobility Trust, Safety Security Zero-Emission Connected Automated Driving Digitalization Energy Production Smart Car New Materials New Infrastructure Advanced powertrain engineer IT specialist for communicating cars Artificial Intelligence ( AI )

THE AI IMPACT ON STRATEGY OF ADVANCED INDUSTRIAL COMPANIES TO 2025
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Advanced industries such as automotive semiconductors, and industrial manufacturing could harness AI over the next decade to discover entirely new ways to make things better, cheaper, and faster . In the next 15 years, the greatest impact of artificial intelligence will be

Design of on Board Unit For Automatic Severity Estimation of Automotive Accidents
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Recent studies show however communication capabilities ought to be supported by AI systems capable of automating several of the choices to be a paradigm of our system supported off the peg devices and validate it at the Applus+ IDIADA Automotive analysis Corporation

Process Watch: The ( automotive ) problem with semiconductors
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power the sensors, radar and AI needed for driverless cars. With over 88 million cars and light trucks produced every year,3 each with thousands of chips, the influence of the automotive industry on semiconductor manufacturing is starting to take hold. There is one

of Electrical and Electronic Technologies for Automotive
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Ai sensi dellart. comma 3 del DPR 137/2012 e del Regolamento per la Formazione Continua dei Periti Industriali e Periti Industriali AUTOMOTIVE Conference, after its first successful edition, will be held on June 15/16 to host regular papers in several areas

Manufacturing Process of NCG carbon fiber and AljOj Whisker Reinforced 2024 AI MMC by Sqeeze Casting
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Page 1. Manufacturing Process of NCG carbon fiber and AljOj Whisker Reinforced

Implementation of a Proof of Concept for a Blockchain-based Smart Contract for the Automotive Industry in Mauritius
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Accessed on October 1 2019. [Online]. Available: https://businessblockchainhq.com/ automotive blockchain-news/. [19] C. Torres, Hyundai Subsidiaries Partner IBM to Accelerate AI and Blockchain Development , February 2019. Accessed on October 1 2019. [Online]2. DESIGN A. Requirement As per Automotive Industry Standard, AIS-02 AIS-01 AI01 the automotive seat should pass Seat back strength test, Head rest performance test, energy dissipation test, seat belt anchorage test

Competitiveness Outlook of the Automotive Industry in the V4 Countries
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Depends on where youre from. Retrieved February 201 from https://www.technologyre- view.com/s/612341/a-global-ethics-study-aims-to-help- aisolve-the-self-driving- trolley-problem/ Chlopčík, T. (2018). Automotive industry in the Visegrad Group

Technology Development of AI Application for In-vehicle Control ECU
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In addition, a method was developed to connect microcomputer implementation and the AI design capable of being combined with MBD (Model Based Development) process, which had a proven track record in automotive control development. Abstract

On the Importance of System Testing for Assuring Safety of AI Systems.
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In this paper, we contribute to this endeavor and discuss the urgent need for sys- tem testing in the context of safety-critical systems comprising AI methodologies. In particular, we argue based on one example from the automotive industry that it is strongly recommended to con

A future that works: AI automation, employment, and productivity
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AI AUTOMATION, EMPLOYMENT, AND PRODUCTIVITY Page 2. 2 McKinsey Company Amazing progress in AI and Automation Page 3. 3 McKinsey Company Page 4 Agriculture Manufacturing Public/social Health care Automotive Finance Travel, transport, and logistics

Notes from the AI frontier: Insights from hundreds of use cases
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APRIL NOTES FROM THE AI FRONTIER INSIGHTS FROM HUNDREDS OF Learn more at www.mckinsey.com/business-functions/mckinsey-analytics/our-insights. Page 3. IN BRIEF NOTES FROM THE AI FRONTIER: INSIGHTS FROM HUNDREDS OF USE CASES

Quality of service practices within business market: An automotive industry experience
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In todays business market, products alone cannot assure vendors success due to the trend of the market where buyers perceived products and services are equally important. To face this current development, vendors are forced to offer added values to their products

The challenges and opportunities for enhancing the competitiveness of the indigenous Malaysian automotive industry
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They are emphasizing on smart car technologies, involving artificial intelligence ( AI ), robotics, the Internet of Things and big data (Alamda-Lobo). Automotive manufacturing robots can improve quality, reduce warranty costs, increase capacity and ease bottlenecks (Acieta Diet PF M ller Roland E. Haas Guide to Automotive Connectivity and Cybersecurity Trends, Technologies Page 4. Diet PF M ller Roland E. Haas Guide to Automotive Connectivity and Cybersecurity Trends, Technologies, Innovations and Applications Page 5

An overview of AI adoption in business and management
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education OR retail OR media OR entertainment OR automotive OR assembly OR smart cars OR smart cities OR consumer goods OR building OR accounting OR insurance ) 1/11/2019 English Snowballing AI in Bus, Mgmt, support Technology acceptance