Recent in-vehicle infotainment system is showing rapid growth in functionality and performance. High-definition navigation and digital multi-media are accelerating the rapid growth. The next-generation IVI system is expected to implement functions of three major domains. First domain includes navigation, voice recognition and terminal feature for cloud service providing multi-media. Second domain includes positioning and vehicle information, and front end feature for Big Data that collect and process information from control systems. Third domain includes cognitive and advanced driving support system feature consists of information provided to the driver. SoC on board IVI system must be capable of much higher performance and more features, in order to realize these features. However, we should be aware that these predictions will be strongly influenced by market requirements. Therefore, investigation report provided by IBM, "Automotive 2025 : Industry without boarders" will be used for market predictions.This report is based on IBM investigation result of 175 executives from 21 countries. This presentation will present functional elements required for SoC of next generation IVI system, starting from predicting the required features for the next generation IVI system based on the report and then breaking down into system design.
The document discusses autonomous vehicles and their key features. It describes how autonomous cars use sensors and advanced systems like intelligent cruise control, collision avoidance, lane support and night vision to drive themselves. These systems allow the cars to maintain speed and distance from other vehicles, detect lanes and traffic lights, and park without human assistance. While autonomous vehicles could reduce accidents and increase road capacity, challenges remain around system failures, hacking risks and high costs.
NamasteJi provides a centralized digital parking management system in India. The cloud-based system uses RFID cards and QR codes to digitally track vehicles entering and exiting parking facilities. It provides real-time data and reports on parking usage. The system aims to optimize parking, reduce traffic and pollution, and improve the user experience through automated payments and notifications.
Ground breaking innovations like Advanced Driver Assistance System (ADAS) makes driving easier and safer on congested roads. The whitepaper details how FPGA technology emerges as a complete solution for ADAS.
Automobile UX: Emerging Infotainment Systems and In-Car Apps From a User Expe...Robert Gardner-Sharp
This paper not only divulges this bourgeoning in-car infotainment industry, but also conveys its inherent challenges and complexities, particularly for user experience. Through an assessment of multi-disciplinary discourse on cognitive load in high-risk context of use, and a collection of design and usability theory and practice, insights are gained that inform and inspire the wider adoption of in-car infotainment systems as viable and compelling platforms in user experience.
Smart mobility uses information technology to improve transportation through more affordable and sustainable options. A smart mobility strategy uses data collection and analysis to optimize the transportation network and implement solutions to current problems while preparing for emerging technologies. We offer smart mobility solutions like free public WiFi, traffic management systems, emergency vehicle preemption, smart gate parking, vehicle counting and license plate recognition, drone surveillance, transportation information apps, parking management apps, integrated security systems, and smart lighting systems.
An Android app called Pick Me Up allows drivers and passengers going on short journeys to connect for carpooling. The app uses social media integration and geolocation to make carpooling more usable and trustworthy. Drivers can search for passengers going in their direction within a specified radius based on distance or money. Passengers get notified when selected by a driver. User testing found people liked features like social login, quick profiles, and location autocomplete while suggestions included alternative views, easier search changes, and payment integration.
The document discusses autonomous vehicles and their key features. It describes how autonomous cars use sensors and advanced systems like intelligent cruise control, collision avoidance, lane support and night vision to drive themselves. These systems allow the cars to maintain speed and distance from other vehicles, detect lanes and traffic lights, and park without human assistance. While autonomous vehicles could reduce accidents and increase road capacity, challenges remain around system failures, hacking risks and high costs.
NamasteJi provides a centralized digital parking management system in India. The cloud-based system uses RFID cards and QR codes to digitally track vehicles entering and exiting parking facilities. It provides real-time data and reports on parking usage. The system aims to optimize parking, reduce traffic and pollution, and improve the user experience through automated payments and notifications.
Ground breaking innovations like Advanced Driver Assistance System (ADAS) makes driving easier and safer on congested roads. The whitepaper details how FPGA technology emerges as a complete solution for ADAS.
Automobile UX: Emerging Infotainment Systems and In-Car Apps From a User Expe...Robert Gardner-Sharp
This paper not only divulges this bourgeoning in-car infotainment industry, but also conveys its inherent challenges and complexities, particularly for user experience. Through an assessment of multi-disciplinary discourse on cognitive load in high-risk context of use, and a collection of design and usability theory and practice, insights are gained that inform and inspire the wider adoption of in-car infotainment systems as viable and compelling platforms in user experience.
Smart mobility uses information technology to improve transportation through more affordable and sustainable options. A smart mobility strategy uses data collection and analysis to optimize the transportation network and implement solutions to current problems while preparing for emerging technologies. We offer smart mobility solutions like free public WiFi, traffic management systems, emergency vehicle preemption, smart gate parking, vehicle counting and license plate recognition, drone surveillance, transportation information apps, parking management apps, integrated security systems, and smart lighting systems.
An Android app called Pick Me Up allows drivers and passengers going on short journeys to connect for carpooling. The app uses social media integration and geolocation to make carpooling more usable and trustworthy. Drivers can search for passengers going in their direction within a specified radius based on distance or money. Passengers get notified when selected by a driver. User testing found people liked features like social login, quick profiles, and location autocomplete while suggestions included alternative views, easier search changes, and payment integration.
This document discusses autonomous vehicles and their levels of autonomy from 0 to 5. It outlines the benefits of autonomous vehicles such as reduced crashes and traffic as well as drawbacks like increased costs and jobs losses. The document describes the lidar, radar, and camera autonomous architectures and their detection ranges and limitations. It compares Ford and FCA autonomous vehicle designs and relies on different sensors and platforms. The conclusion states that more research is needed to address issues like costs, phase out of gas vehicles, and legal matters before widespread adoption of autonomous vehicles.
A first-principle approach to designing automotive interfaces and user experience.
Presentation & workshop conducted at DEW2014, IIITDM Jabalpur on 8th December 2014.
Seminar on Advanced Driver Assistance Systems (ADAS).pptxMohit Nayal
Advanced Driver Assistance Systems (ADAS) use sensors and computer vision algorithms to detect objects, warn drivers of potential accidents, and take actions to avoid collisions. ADAS applications have evolved from simple cruise control in the 1950s to now include lane keeping, automatic emergency braking, and other systems. As ADAS becomes more advanced with 64-bit processors and neural networks, vehicles are progressing toward full autonomy. The goal of ADAS is to reduce the over 90% of accidents caused by human error by assisting drivers or taking control in dangerous situations.
Traffic Control and Vehicle-to-Everything (V2X) CommunicationsOfinno
As the number of vehicles increases, traffic accidents and waste of resources due to
congestion are consistently growing every year. Cellular Vehicle-to-Everything (V2X) is a
key technology improving driving safety and traffic efficiency by enabling traffic elements
such as vehicles, roadside infrastructures, networks, and pedestrians to communicate with
each other. Dynamic interactions between traffic elements ultimately facilitate intelligent
autonomous driving. The 3rd Generation Partnership Project (3GPP) Technical Specification
Group has developed a series of standards for cellular V2X features and is working on
continuous enhancements for higher reliable and low latency communication. This paper
provides an overview of cellular V2X use cases and 3GPP standardization, and summarizes
the impact of the V2X technology.
This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
This document describes an intelligent parking system called iPARK that uses IoT and AI technologies. iPARK aims to make parking more manageable by providing an available parking space list, automatically sensing vehicle movement, and allowing users to securely lock and unlock gates. It guides vehicles to the nearest available spot to reduce waiting times, fuel consumption, and carbon emissions. The system includes hardware components like Arduino Mega, Ethernet shield, LDR sensors and servo motors, along with software like PHP and MySQL. It uses techniques like registration, login, space selection, and gate locking/unlocking. Future work may include a distributed database to control spots nationwide, location-based parking searches, and automated payment services.
Autonomous vehicles: becoming economically feasible through improvements in l...Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economically feasible throug through improvements in lasers, microelectronic mechanical systems (MEMS), integrated circuits (ICs), and other components. Although the cost of the Google Car is currently about 150,000 USD, 30% annual improvements in lasers, MEMS, and ICs will make these economically feasible for a broad number of users in the next ten years. A key issue is when certain lanes, roads or even entire highway systems are restricted to automated vehicles. This would enable collision avoidance to rely more on between-vehicle communications. This would further reduce the cost of automated vehicles, stimulate diffusion, and also reduce transportation time and increase fuel efficiency.
This document provides an overview of self-driving cars, autonomous vehicles, and shared mobility. It discusses the major players in this emerging field such as Google, Tesla, Uber, and automotive manufacturers. The vision for autonomous vehicles is described as mobility over ownership where people will summon driverless vehicles via smartphone apps for on-demand transportation. Significant benefits include reduced traffic, increased road safety, and mobility for all groups. Currently, Google leads in developing fully autonomous vehicles while automakers focus on incremental self-driving features and plan to introduce them first in luxury models.
The document discusses artificial intelligence and its applications in autonomous vehicles. It begins with definitions of intelligence and artificial intelligence. It then discusses how AI is used in mechanical engineering applications like robotics. A key application is autonomous cars, which are vehicles that can drive themselves without human assistance. The main components of autonomous cars are described as GPS, LIDAR, RADAR, video cameras and position estimators. Technologies like adaptive cruise control, adaptive high beams and traffic signal recognition enable fully autonomous driving. The document concludes with advantages and disadvantages of autonomous cars and examples of recently developed autonomous vehicles.
Whim is a mobility as a service (MaaS) solution that offers transportation services through a single app. It aims to reshape the global transportation market by reducing private car usage and ownership through service sharing and new transportation means. Whim's solution provides customers transportation flexibility and freedom without car ownership by allowing access to a variety of public and private transportation operators through monthly subscription packages. The company launched its first MaaS solution in Helsinki in 2016 and aims to expand globally by 2017-2020.
Start your Uber Clone Business Immediately. USA, UK, India. Say Bye to Expensive Taxi App Development Company, Introducing low cost Uber Clone App. Launch your Uber Clone App in Just 48 hours with all Uber Features and Functionalities, be No: 1 to build a Delightful Uber Clone App. Contact us now to become next uber
The document discusses Google's self-driving car. It has sensors like LIDAR and cameras that generate 3D maps of the environment. The car uses these maps along with GPS and AI to navigate roads autonomously, obeying traffic laws. Some benefits are reduced accidents and increased road capacity. Challenges include hackers potentially interfering with the system or failures causing accidents. The car aims to safely transport passengers to their destinations using sensors and software.
This Presentation describes about the concept of self driving car with uses of different technology. This presentation will be helpful for those who want to know about new technology and will also be helpful for those who want to give seminar in technical college.
There are plenty of startups keen to build a business out of Taxi Booking Apps. But is it really that easy ? With big players like Uber, Lyft & Easy Taxi already dominating the market, it’s quite difficult for a beginner to survive in this space. But of course there are still big opportunities waiting to be exploited which makes this place extremely lucrative for startups.
This presentation covers what goes into building a successful taxi app. Also, how just not to build an app but how to build a successful business which creates value.
Sergii Kharagorgiiev, Chief Computer Vision Engineer at Starship Technologies...Codiax
Starship is developing self-driving delivery robots to address the growing demand for last mile deliveries of packages, food, and other goods. The company's robots use computer vision and machine learning algorithms running on multiple cameras and other sensors to navigate autonomously on sidewalks and avoid obstacles. Starship has driven over 100,000 km in pilots and operates commercial services in several cities. The company prioritizes safety and has achieved over 100,000 km of autonomous driving without any third-party property damage or injuries.
The document is a seminar presentation on autonomous cars presented by three students to professors at Khulna University. The presentation outlines the history and development of autonomous vehicle technology, how autonomous cars work using sensors and software, and recent advances in the field such as testing of driverless cars. However, full implementation of autonomous cars faces challenges such as how to program ethical decision making in accidents, ensuring cybersecurity, and enabling the technology to handle unexpected situations and poor driving conditions.
Examining BMW´s Open Architecture for Telematic Applications - H Michelmfrancis
This document discusses BMW's examination of an open architecture for telematic applications in vehicles. It outlines some of the challenges of increasing vehicle electronics complexity and proposes an open platform approach using standardization. Examples of BMW research applications are provided, including a navigation system that allows seamless routing between vehicle and mobile devices, and a personal information assistant for synchronizing contact and calendar data across devices. Standardization efforts like OSGi are seen as important to enable an open component-based architecture in vehicles.
Automotive 2025: A New Relationship between People and CarsKal Gyimesi
Presented on February 3, 2016 at OESA Communications Council meeting
Presentation from our Automotive 2025 combined with People and Cars Global Consumer Survey findings
Presentation at Automotive Leaders Summit on April 7, 2016
Connecting the automotive value chain from design through consumer information and vehicle usage
This document discusses autonomous vehicles and their levels of autonomy from 0 to 5. It outlines the benefits of autonomous vehicles such as reduced crashes and traffic as well as drawbacks like increased costs and jobs losses. The document describes the lidar, radar, and camera autonomous architectures and their detection ranges and limitations. It compares Ford and FCA autonomous vehicle designs and relies on different sensors and platforms. The conclusion states that more research is needed to address issues like costs, phase out of gas vehicles, and legal matters before widespread adoption of autonomous vehicles.
A first-principle approach to designing automotive interfaces and user experience.
Presentation & workshop conducted at DEW2014, IIITDM Jabalpur on 8th December 2014.
Seminar on Advanced Driver Assistance Systems (ADAS).pptxMohit Nayal
Advanced Driver Assistance Systems (ADAS) use sensors and computer vision algorithms to detect objects, warn drivers of potential accidents, and take actions to avoid collisions. ADAS applications have evolved from simple cruise control in the 1950s to now include lane keeping, automatic emergency braking, and other systems. As ADAS becomes more advanced with 64-bit processors and neural networks, vehicles are progressing toward full autonomy. The goal of ADAS is to reduce the over 90% of accidents caused by human error by assisting drivers or taking control in dangerous situations.
Traffic Control and Vehicle-to-Everything (V2X) CommunicationsOfinno
As the number of vehicles increases, traffic accidents and waste of resources due to
congestion are consistently growing every year. Cellular Vehicle-to-Everything (V2X) is a
key technology improving driving safety and traffic efficiency by enabling traffic elements
such as vehicles, roadside infrastructures, networks, and pedestrians to communicate with
each other. Dynamic interactions between traffic elements ultimately facilitate intelligent
autonomous driving. The 3rd Generation Partnership Project (3GPP) Technical Specification
Group has developed a series of standards for cellular V2X features and is working on
continuous enhancements for higher reliable and low latency communication. This paper
provides an overview of cellular V2X use cases and 3GPP standardization, and summarizes
the impact of the V2X technology.
This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
This document describes an intelligent parking system called iPARK that uses IoT and AI technologies. iPARK aims to make parking more manageable by providing an available parking space list, automatically sensing vehicle movement, and allowing users to securely lock and unlock gates. It guides vehicles to the nearest available spot to reduce waiting times, fuel consumption, and carbon emissions. The system includes hardware components like Arduino Mega, Ethernet shield, LDR sensors and servo motors, along with software like PHP and MySQL. It uses techniques like registration, login, space selection, and gate locking/unlocking. Future work may include a distributed database to control spots nationwide, location-based parking searches, and automated payment services.
Autonomous vehicles: becoming economically feasible through improvements in l...Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economically feasible throug through improvements in lasers, microelectronic mechanical systems (MEMS), integrated circuits (ICs), and other components. Although the cost of the Google Car is currently about 150,000 USD, 30% annual improvements in lasers, MEMS, and ICs will make these economically feasible for a broad number of users in the next ten years. A key issue is when certain lanes, roads or even entire highway systems are restricted to automated vehicles. This would enable collision avoidance to rely more on between-vehicle communications. This would further reduce the cost of automated vehicles, stimulate diffusion, and also reduce transportation time and increase fuel efficiency.
This document provides an overview of self-driving cars, autonomous vehicles, and shared mobility. It discusses the major players in this emerging field such as Google, Tesla, Uber, and automotive manufacturers. The vision for autonomous vehicles is described as mobility over ownership where people will summon driverless vehicles via smartphone apps for on-demand transportation. Significant benefits include reduced traffic, increased road safety, and mobility for all groups. Currently, Google leads in developing fully autonomous vehicles while automakers focus on incremental self-driving features and plan to introduce them first in luxury models.
The document discusses artificial intelligence and its applications in autonomous vehicles. It begins with definitions of intelligence and artificial intelligence. It then discusses how AI is used in mechanical engineering applications like robotics. A key application is autonomous cars, which are vehicles that can drive themselves without human assistance. The main components of autonomous cars are described as GPS, LIDAR, RADAR, video cameras and position estimators. Technologies like adaptive cruise control, adaptive high beams and traffic signal recognition enable fully autonomous driving. The document concludes with advantages and disadvantages of autonomous cars and examples of recently developed autonomous vehicles.
Whim is a mobility as a service (MaaS) solution that offers transportation services through a single app. It aims to reshape the global transportation market by reducing private car usage and ownership through service sharing and new transportation means. Whim's solution provides customers transportation flexibility and freedom without car ownership by allowing access to a variety of public and private transportation operators through monthly subscription packages. The company launched its first MaaS solution in Helsinki in 2016 and aims to expand globally by 2017-2020.
Start your Uber Clone Business Immediately. USA, UK, India. Say Bye to Expensive Taxi App Development Company, Introducing low cost Uber Clone App. Launch your Uber Clone App in Just 48 hours with all Uber Features and Functionalities, be No: 1 to build a Delightful Uber Clone App. Contact us now to become next uber
The document discusses Google's self-driving car. It has sensors like LIDAR and cameras that generate 3D maps of the environment. The car uses these maps along with GPS and AI to navigate roads autonomously, obeying traffic laws. Some benefits are reduced accidents and increased road capacity. Challenges include hackers potentially interfering with the system or failures causing accidents. The car aims to safely transport passengers to their destinations using sensors and software.
This Presentation describes about the concept of self driving car with uses of different technology. This presentation will be helpful for those who want to know about new technology and will also be helpful for those who want to give seminar in technical college.
There are plenty of startups keen to build a business out of Taxi Booking Apps. But is it really that easy ? With big players like Uber, Lyft & Easy Taxi already dominating the market, it’s quite difficult for a beginner to survive in this space. But of course there are still big opportunities waiting to be exploited which makes this place extremely lucrative for startups.
This presentation covers what goes into building a successful taxi app. Also, how just not to build an app but how to build a successful business which creates value.
Sergii Kharagorgiiev, Chief Computer Vision Engineer at Starship Technologies...Codiax
Starship is developing self-driving delivery robots to address the growing demand for last mile deliveries of packages, food, and other goods. The company's robots use computer vision and machine learning algorithms running on multiple cameras and other sensors to navigate autonomously on sidewalks and avoid obstacles. Starship has driven over 100,000 km in pilots and operates commercial services in several cities. The company prioritizes safety and has achieved over 100,000 km of autonomous driving without any third-party property damage or injuries.
The document is a seminar presentation on autonomous cars presented by three students to professors at Khulna University. The presentation outlines the history and development of autonomous vehicle technology, how autonomous cars work using sensors and software, and recent advances in the field such as testing of driverless cars. However, full implementation of autonomous cars faces challenges such as how to program ethical decision making in accidents, ensuring cybersecurity, and enabling the technology to handle unexpected situations and poor driving conditions.
Examining BMW´s Open Architecture for Telematic Applications - H Michelmfrancis
This document discusses BMW's examination of an open architecture for telematic applications in vehicles. It outlines some of the challenges of increasing vehicle electronics complexity and proposes an open platform approach using standardization. Examples of BMW research applications are provided, including a navigation system that allows seamless routing between vehicle and mobile devices, and a personal information assistant for synchronizing contact and calendar data across devices. Standardization efforts like OSGi are seen as important to enable an open component-based architecture in vehicles.
Automotive 2025: A New Relationship between People and CarsKal Gyimesi
Presented on February 3, 2016 at OESA Communications Council meeting
Presentation from our Automotive 2025 combined with People and Cars Global Consumer Survey findings
Presentation at Automotive Leaders Summit on April 7, 2016
Connecting the automotive value chain from design through consumer information and vehicle usage
The document discusses the connected car ecosystem and opportunities. It begins with an introduction and agenda that separates autonomous from connected cars and outlines connected car applications and the ecosystem. It then discusses rules and regulations governing the space. The document provides an overview of key players in the connected car industry, including automakers investing heavily in telematics and embedding these systems in most new vehicles by 2018. It also discusses the strategies of telecom companies to become end-to-end providers in the connected car value chain.
With increasingly autonomous capabilities and a declining interest in ownership, the auto industry needs to focus on in-transit innovation, purpose-driven design and a transition to a service-based business model.
The document discusses current trends and the future outlook for the automotive industry in Europe, the Middle East, Africa, and Russia (EMEAR) region. It notes that while the connected car market will grow, overall car revenues are expected to remain stable. However, connectivity may trigger a redistribution of major automotive revenue streams. It also states that after 2020, semi-autonomous vehicles will cause further disruption in the industry with profound impacts. The document provides analysis from various consulting firms on topics like emerging markets, ownership models, connectivity standards, and engaging with the public on regulatory issues.
The document introduces Lochbridge's Connected Car Maturity Model, which provides automakers a way to assess their connected car programs across four key objectives: loyalty, differentiation, monetization, and quality. It describes solutions that enable each objective and allows companies to self-report their progress to determine their grade. Lochbridge has identified these objectives and solutions as the most important for driving connectivity investments. The model is presented as the industry's first way to score and track connected car efforts and determine which solutions should be prioritized.
Lochbridge Connected Car Maturity Model FINALmowat312
The document introduces a Connected Car Maturity Model created by Lochbridge to help automakers determine which connected car solutions to prioritize. The model evaluates progress on four objectives - loyalty, differentiation, monetization, quality - by assessing implementation of related solutions. It provides a dashboard and grading system to track progress. The rest of the document discusses each objective in more detail and the types of solutions that advance maturity in that area from basic to advanced.
The AUTOmobile becomes the autoMOBILE: How does the mobility revolution impac...Sebastian Wedeniwski
The vehicle of the digital future will be created by either the automotive industry or by others who currently have better access to digital natives and hyper-connected generations. This new automotive paradigm is already here—but who will shape it?
http://www.ibmbigdatahub.com/blog/how-does-mobility-revolution-impact-automotive-business-models
Download a full version of the report at:
http://bit.ly/2crBpoc
The Future of Automotive, created in partnership with Microsoft, presents various opportunities for driving business forward in a mobile-first world. The future state of the automotive industry is brought to life through five forward-looking scenarios to highlight how social consumer attitudes, connectivity and automation are shaping the potential of personal and flexible mobility. Insights learned can help manufacturers, OEMs and dealers understand how cloud-based solutions can transform their businesses in order to drive new levels of service throughout the entire value chain.
The AUTOmobile becomes the autoMOBILE: How does the mobility revolution impac...Sebastian Wedeniwski
The document discusses how digital disruption and mobility are impacting the automotive industry. It notes that three primary disruptors - consumers, mobility, and ecosystems - are blurring industry boundaries. The talk outlines how customer expectations and experiences are changing, how mobility is transforming more than just transportation, and how automotive companies need to collaborate in new ecosystems. The industry is shifting from producing automobiles to providing mobility experiences and services.
Innovations in Digital Consumerism for the Automotive IndustryInfosys
The automotive industry is the largest contributor to digital conversations. The document discusses how the industry is catering to the needs of the digital buyer
The car showrooms are evolving to take leverage of current technological advancements. The multi touch displays are finding application in car showrooms to let customers configure car of their choice with different possible combinations.
Insights into Action – recent examples leveraging big data in the automotive ...Capgemini
In 2014 many OEMs started to use the latest big data technologies to leverage customer and vehicle data, together with information available through other channels. Nick Gill, Chair of Capgemini’s global automotive council, will highlight some of the leading examples of work done in the industry, and the results achieved to date.
Presented at EMC World 2015 by Nick Gill.
The document discusses the connected car market and opportunities for investment. It defines connected cars as vehicles that use technologies like telematics, artificial intelligence, and connectivity to provide safety, comfort and entertainment features. Today's connected cars allow for infotainment, navigation, device connectivity and roadside assistance. The market is evolving to include vehicle-to-vehicle and vehicle-to-infrastructure connectivity, partial autonomy, and future fully autonomous vehicles. While consumer willingness to pay for connected services is low, the enterprise market around fleet management, insurance telematics, and automotive software provides more promising investment opportunities, as seen in recent funding deals and exits that have targeted the enterprise.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
The document summarizes findings from a 2020 global automotive consumer study conducted in India. Key findings include:
- Consumers are willing to pay more for vehicles with advanced technologies like connectivity and autonomous features.
- Consumers are comfortable sharing their data with automakers and third parties if they receive significant benefits.
- While interested in connectivity, consumers have concerns about data privacy and autonomous vehicle safety.
- Younger consumers are more open to new mobility options like ridesharing and congestion pricing.
- Consumers see improved public transit and vehicle-to-vehicle connectivity as the best ways to reduce traffic.
IBM Impact 2014 - Overview and strategy to transforming your mobile enterpriseEd Brill
IBM MobileFirst provides an overview of IBM's strategy to help enterprises transform their business through mobile technologies. It discusses how mobile is changing customer interactions and work, and the opportunities this presents for organizations to generate new value from mobile data. IBM's approach involves helping clients harness mobile capabilities to drive business value, mobilize employees, unlock core business knowledge in mobile apps, and secure the mobile enterprise. IBM offers industry-specific mobile solutions and a set of pre-configured IBM Ready Apps to help clients accelerate their mobile strategies.
Similar to Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025 (20)
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network