This short paper discusses the appearance of IoT in the car industry. Therefor a brief history of autonomous cars is given.
The origin of IoT usage within vehicle industry date back in early 1958, where the idea of the self-driving car became prominent. It was not until 1995 during the embedded era that different auto companies started exploring the connectivity aspect of the car and the roads, for instance, GM OnStar. But the idea was never implemented because of its capital-intensive involvement, lack of competition and use cases at the time.
The first experience of true IoT was seen during infotainment era which ranges from 2007 to 2012. During this era, the car technology such as Ford Sync and GM Mylink took advantage of wireless connectivity aspect which was enabled by the wireless IoT technology. It was at this time the IoT usage in connecting autonomous car through smart cities and different car networks became prevalent.
Table of Contents
1. THE ORIGIN OF IOT IN AUTONOMOUS VEHICLE INDUSTRY
2. CHALLENGE AND RISK
3. THE CURRENT STATE OF THE AUTONOMOUS VEHICLES INDUSTRY
4. EXPECTED FUTURE STATE
5. BUSINESS RATIONALE AND EXPECTED ECONOMIC BENEFITS
Objectives and Topics
This work examines the evolution, current state, and strategic impact of Internet of Things (IoT) technology within the autonomous vehicle industry, highlighting the transition from basic connectivity to advanced integrated systems.
- Historical evolution of IoT integration in the automotive sector.
- Technical and regulatory challenges hindering current autonomous vehicle deployment.
- Categorization of industry players (Platform Developers, Suppliers, Automakers).
- Future technological prospects including V2V and B2V communication.
- Economic and manufacturing benefits derived from IoT-driven automation.
Excerpt from the Book
2. Challenge and Risk
Today’s automakers are still facing fierce competition and challenges. Essentially, an autonomous car needs to replace a human driver from three aspects: perception, computing and control (Tim Menke, 2017). The technology to complete these tasks is achieved through several kinds of high-tech devices, including cameras, radars and computers. Cameras and radars can receive photos and sounds while computers will integrate all the information and hand out instructions to control electronics just as human brains do.
However, these high-tech devices have some risks. For example, cameras perform well in identifying shapes and colors, but they are bad at calculating the distance between cars and surrounding objects. The main computer of the car requires the high-level system to guarantee accuracy and safety.
In addition to technical problems, policy and regulation issues are also challenging for automakers. Although some cities nationwide have allowed autonomous vehicle testing on public roads, there are still many other cities that are not prepared for large-scale deployment of autonomous vehicles (NEWS STAFF, 2017). They still need time for the government to consider the benefits and drawbacks.
Summary of Chapters
1. THE ORIGIN OF IOT IN AUTONOMOUS VEHICLE INDUSTRY: This chapter traces the historical timeline of IoT in vehicles, starting from 1958 and progressing through the embedded and infotainment eras.
2. CHALLENGE AND RISK: This section details the fundamental requirements for autonomous control and the associated technical, safety, and regulatory hurdles currently facing the industry.
3. THE CURRENT STATE OF THE AUTONOMOUS VEHICLES INDUSTRY: This chapter categorizes the industry into developers, suppliers, and automakers, while outlining the current levels of market-ready automation.
4. EXPECTED FUTURE STATE: This chapter explores emerging technologies like AI, V2V, and B2V that aim to transition the industry toward full autonomy and enhanced driver safety.
5. BUSINESS RATIONALE AND EXPECTED ECONOMIC BENEFITS: This chapter discusses how IoT optimizes the automotive life cycle, reduces manufacturing costs, and creates new value streams through data-driven insights.
Keywords
IoT, Autonomous Vehicles, Automotive Industry, Connectivity, Infotainment, Sensors, V2V, B2V, AI, Automation Levels, Manufacturing, Data Analytics, Transportation, R&D, System Integration
Frequently Asked Questions
What is the fundamental focus of this publication?
The paper explores the role of IoT technology in driving the development, current status, and future outlook of the autonomous vehicle industry.
What are the central themes discussed in the work?
The central themes include the evolution of vehicle connectivity, technical challenges, the categorization of key industry stakeholders, and the economic benefits of IoT implementation.
What is the primary goal of the research presented?
The primary goal is to analyze how IoT acts as a catalyst for revolutionizing automotive design, manufacturing processes, and future autonomous driving capabilities.
What scientific or industry-based approach is used?
The document employs a descriptive industry analysis approach, utilizing historical context, current market categorization, and expert technological insights.
What topics are covered in the main body?
The main body covers the history of IoT, current industry challenges, a breakdown of key industry participants, future technological trends, and the economic rationale for adopting these technologies.
Which keywords best characterize this work?
Key terms include IoT, Autonomous Vehicles, Connectivity, V2V, B2V, AI, and industry life cycle optimization.
How does the author categorize the participants in the self-driving car industry?
The industry is segmented into three distinct groups: Platform Developers (building integrated systems), Suppliers (producing essential components), and Automakers (developing and testing the final vehicles).
What is the significance of the distinction between V2V and B2V technologies?
V2V (vehicle-to-vehicle) focuses on infrastructure and traffic management through inter-vehicle communication, whereas B2V (brain-to-vehicle) focuses on predicting driver behavior via brain wave analysis to enhance safety.
- Citation du texte
- Juhyuk Park (Auteur), 2018, Internet of Things in Autonomous Car Industry. An Overview, Munich, GRIN Verlag, https://www.grin.com/document/985477
