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Adaptive Features and Context Awareness of a Smart Car

Title: Adaptive Features and Context Awareness of a Smart Car

Academic Paper , 14 Pages

Autor:in: Hardik Modi (Author), Karna Joshi (Author), Palak Patel (Author)

Engineering - Automotive Engineering
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Summary Excerpt Details

Smart cars are the future of the developing world. With advancement in research in different sectors of car features, safety and securities can be provided to the costumers. This paper comprises an automatic cleaning system robot, the accident technology in smart cars and their automatic parking features. In addition, the IoT (Internet of Things) will be included in the research.

Excerpt


Table of Contents

1. Introduction

2. 5G the innovation of car

3. Park Assist

4. Cruise Control

5. Traffic Recognition

6. The Future of Diesel

7. Child Detection system

8. Supply of Power In Future cars

9. Conclusion

Objectives & Topics

This paper aims to explore the transformative role of Internet of Things (IoT) technologies in evolving conventional vehicles into "smart cars." It investigates how IoT integration enhances vehicle functionalities, specifically focusing on smart parking, cleaning automation, and accident detection systems, while addressing the challenges of data management, energy consumption, and future mobility trends.

  • Integration of IoT in modern automotive features
  • Development of smart parking systems using cloud data and user interfaces
  • Automation of vehicle cleaning processes through dedicated robots
  • Advancements in accident detection and emergency response technologies
  • Future trends in autonomous driving, 5G connectivity, and power supply

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Introduction

As we are getting used by new technologies in recent years there is many technologies that has changed the future of car. There are many IoT projects going that can change the future of car and we can refer to as future smart car there can be many technologies combined and can be future of cars. Basically, according to some research an individual spends average 45 minutes in a car[1]. There are many ways that can make a smart car future of industry . In today’s society there's a IoT could be a term utilized to communicate between individuals . Businesses are contributing exceptionally extra due to various advantages of IoT in different areas. In current situation there is rapid increase in car industry it used to be 841 million cars in 2008 but till 2035 there would be 1.6 billion cars approximately.

There are many new innovations going on in field of IoT where the engineers are working on making the future smart car there is a rapid change in increasing number of cars so nowadays there are many circumstances where the car doesn’t get the desired space for parking in the public places such as stadium, hospitals, shopping malls etc. Finding unoccupied parking space for a car is vast problem nowadays [2]. There is multiple parking lanes and the biggest issue of all is air pollution when the car doesn’t get enough space for parking and needs to wait.

Summary of Chapters

Introduction: Provides an overview of how IoT technologies are transforming the automotive industry and highlights the rising challenges in parking and urban transportation.

5G the innovation of car: Discusses the impact of 5G on vehicle communications and the potential for high-speed, data-rich automotive services.

Park Assist: Details the sensors and control systems used to automate the parking process and manage parking space allocation.

Cruise Control: Describes the adaptive cruise control functionality and how it maintains safe distances through actuators and sensors.

Traffic Recognition: Analyzes the implementation of camera-based systems for identifying speed restrictions and traffic signs.

The Future of Diesel: Examines the environmental concerns surrounding diesel engines and the transition toward electrical propulsion.

Child Detection system: Addresses the life-saving potential of IoT-based framework to detect children locked in vehicles to prevent accidental heatstroke.

Supply of Power In Future cars: Explores the energy challenges of replacing fossil-fuel engines with electric batteries and infrastructure needs.

Conclusion: Summarizes the key advancements discussed and reflects on the future ethical and technical challenges of autonomous, smart vehicles.

Keywords

IoT, GPS, Automatic Cleaning System Robot(ACSR), Smart Car Parking, Accident Detection Technology, 5G, Autonomous Vehicles, ADAS, Cloud Computing, Sensor Integration, Electric Vehicles, Smart Mobility, Traffic Management, Data Filtering

Frequently Asked Questions

What is the primary focus of this paper?

The paper focuses on the integration of Internet of Things (IoT) technologies to transition traditional vehicles into smart cars, covering applications like automated parking, robotized cleaning, and accident detection.

What are the main thematic areas covered in this work?

The work covers smart parking systems, automatic interior cleaning, driver safety through accident detection, 5G connectivity, electric power infrastructure, and future autonomous driving trends.

What is the research goal of this document?

The goal is to demonstrate how IoT-driven advancements can optimize parking, improve vehicle hygiene, and increase driver safety while reducing network data overhead.

Which scientific methods are primarily utilized in the study?

The study relies on descriptive analysis of existing IoT frameworks, system design concepts, and comparative reviews of automotive technological innovations and trends.

What topics are discussed in the main part of the book?

The main part encompasses current automotive IoT projects, the design of smart parking and cleaning robots, accident modeling using Raspberry Pi and GPS, and future projections for the automotive industry.

Which keywords best describe this research?

Key terms include IoT, Smart Car, Parking Assistance, Accident Detection, 5G, Autonomous Systems, and Sensor Integration.

How does the proposed smart parking system improve efficiency?

It uses cloud data, fog microcontrollers, and user interfaces to provide accurate, real-time information to drivers, reducing wait times and the carbon footprint associated with searching for parking.

Why is an automated vehicle cleaning robot considered necessary?

Given the busy modern lifestyle and increasing health concerns regarding hygiene, an IoT-controlled cleaning robot helps maintain vehicle cleanliness automatically or via manual smartphone override.

How does the accident detection system function in emergencies?

It uses an accelerometer and GPS to detect collisions, immediately notifies the vehicle owner's family and emergency services via cloud communication and mapping APIs.

What are the limitations of the current smart car technologies mentioned?

The author notes challenges such as high costs, complex system maintenance, battery and energy usage constraints, and the moral/ethical complexities of autonomous decision-making in traffic scenarios.

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Details

Title
Adaptive Features and Context Awareness of a Smart Car
Authors
Hardik Modi (Author), Karna Joshi (Author), Palak Patel (Author)
Pages
14
Catalog Number
V1268378
ISBN (PDF)
9783346762290
ISBN (Book)
9783346762306
Language
English
Tags
adaptive features context awareness smart
Product Safety
GRIN Publishing GmbH
Quote paper
Hardik Modi (Author), Karna Joshi (Author), Palak Patel (Author), Adaptive Features and Context Awareness of a Smart Car, Munich, GRIN Verlag, https://www.grin.com/document/1268378
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