+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Artificial Intelligence for Autonomous Vehicles. The Future of Driverless Technology. Edition No. 1. Advances in Data Engineering and Machine Learning

  • Book

  • 272 Pages
  • May 2024
  • John Wiley and Sons Ltd
  • ID: 5930726

With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society.  The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles.

There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology.

The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.

Table of Contents

Preface xi

1 Artificial Intelligence in Autonomous Vehicles - A Survey of Trends and Challenges 1
Umamaheswari Rajasekaran, A. Malini and Mahalakshmi Murugan

2 Age of Computational AI for Autonomous Vehicles 25
Akash Mohanty, U. Rahamathunnisa, K. Sudhakar and R. Sathiyaraj

3 State of the Art of Artificial Intelligence Approaches Toward Driverless Technology 55
Sriram G. K., A. Malini and Santhosh K.M.R.

4 A Survey on Architecture of Autonomous Vehicles 75
Ramyavarshini P., A. Malini and Mahalakshmi S.

5 Autonomous Car Driver Assistance System 105
R. Annamalai, S. Sudha Mercy, J. M. Mathana, N. Banupriya, Rajalakshmi S. and S. D. Lalitha

6 AI-Powered Drones for Healthcare Applications 131
M. Nalini

7 An Approach for Avoiding Collisions with Obstacles in Order to Enable Autonomous Cars to Travel Through Both Static and Moving Environments 151
T. Sivadharshan, K. Kalaivani, N. Golden Stepha, Rajitha Jasmine R., A. Jasmine Gilda and S. Godfrey

8 Drivers' Emotions' Recognition Using Facial Expression from Live Video Clips in Autonomous Vehicles 173
Tumaati Rameshtrh, Anusha Sanampudi, S. Srijayanthis, S. Vijayakumarsvk, Vijayabhaskar and S. Gomathigomathi

9 Models for the Driver Assistance System 193
B. Shanthini, K. Cornelius, M. Charumathy, Lekshmy P., P. Kavitha and T. Sethukarasi

10 Control of Autonomous Underwater Vehicles 209
M. P. Karthikeyan, S. Anitha Jebamani, P. Umaeswari, K. Chitti Babu, C. Geetha and Kirupavathi S.

11 Security and Privacy Issues of AI in Autonomous Vehicles 229
K. Ramalakshmi, Sankar Ganesh and L. KrishnaKumari

References 245

Index 247

Authors

Sathiyaraj Rajendran Chikka Muniyappa Reddy University, India. Munish Sabharwal Galgotias University, India. Yu-Chen Hu Providence University, Sha-Lu, Taiwan. Rajesh Kumar Dhanaraj Galgotias University, India. Balamurugan Balusamy Galgotias University, India.