International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 06 | Jun 2024
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p-ISSN: 2395-0072
FUTURE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN AUTOMOTIVE INDUSTRY Anand Gautam1, Dipti Ranjan Tiwari2 1Master of Technology, Computer Science and Engineering, Lucknow Institute of Technology, Lucknow, India 2Assistant Professor, Department of Computer Science and Engineering, Lucknow Institute of Technology,
Lucknow, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The automotive industry is currently undergoing
Tesla spearheaded the advancement of autonomous driving technology, resulting in the development of semiautonomous vehicles capable of navigating intricate surroundings with minimal human intervention. These breakthroughs have been propelled by rapid progress in machine learning, computer vision, and sensor technology. Presently, AI applications in vehicles span a wide array of functionalities, from autonomous driving and predictive maintenance to customized in-car experiences, laying the groundwork for a future where AI assumes a central role in the automotive sector.
a transformative phase with the integration of Artificial Intelligence (AI) and Machine Learning (ML). This technological revolution is bringing about a new era characterized by remarkable advancements in vehicle design, manufacturing processes, and overall user experience. The research conducted in this study explores the myriad applications of AI and ML in this sector, encompassing a wide range of innovations such as self-driving systems, predictive maintenance programs, personalized in-car experiences, and enhanced safety features. By analyzing the current trends, breakthroughs in technology, and potential future developments, this study sheds light on the significant impact that AI and ML are having on the automotive industry. Moreover, it delves into the challenges and ethical dilemmas that come with the widespread implementation of these technologies, emphasizing the need for strong regulatory frameworks and collaboration across different disciplines to address these issues effectively. In essence, this paper provides a comprehensive overview of how AI and ML are poised to revolutionize the automotive sector, setting the stage for the emergence of safer, more efficient, and customized transportation solutions that will shape the future of mobility.
2.CURRENT TECHNOLOGIES IN USE (E.G., TESLA AUTOPILOT, WAYMO) Current technologies utilized in the automotive sector showcase significant progress in autonomous driving and vehicle safety systems. Tesla Autopilot stands out as a prime example, boasting a range of advanced functionalities including traffic-aware cruise control, automatic lane changing, and Autosteer. Tesla's system integrates a mix of cameras, ultrasonic sensors, and radar to detect the vehicle's surroundings and make instantaneous driving decisions. Waymo, another frontrunner in autonomous vehicle technology, has developed a sophisticated self-driving system that utilizes LiDAR, radar, and high-resolution cameras to construct a detailed 3D map of the surroundings. Waymo's technology enables its vehicles to navigate intricate urban environments, identifying and reacting to various road conditions, obstacles, and traffic scenarios.
Key Words: Artificial Intelligence, Machine Learning, Automotive Industry, Autonomous Driving, Predictive Maintenance, Personalised In-Car Experience, Enhanced Safety Measures, Technological Advancements, Ethical Considerations, Regulatory Frameworks, Future Trends.
1.HISTORICAL DEVELOPMENT OF AI IN THE VEHICLE
General Motors' Super Cruise provides a hands-free driving experience on compatible highways, incorporating a driver attention system to ensure safety. Meanwhile, other automakers such as BMW and Mercedes-Benz integrate AIpowered functionalities like automated parking, collision avoidance, and adaptive headlights. These technologies collectively represent the cutting-edge of AI and machine learning applications in the automotive industry, advancing the capabilities and safety of contemporary vehicles.
The evolution of artificial intelligence (AI) in automotive technology has been a gradual and transformative process that commenced in the mid-20th century. Initial endeavors to integrate AI into vehicles were basic, focusing on fundamental automation and control mechanisms. The 1980s and 1990s witnessed significant progress with the introduction of adaptive cruise control and anti-lock braking systems, which laid the foundation for more intricate AI implementations. The onset of the 21st century marked a crucial juncture with the emergence of sophisticated driver assistance systems (ADAS), incorporating sensors and algorithms to enhance vehicle safety and performance. Pioneering companies such as Google (now Waymo) and
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3.ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) Advanced Driver Assistance Systems (ADAS) comprise a variety of technologies crafted to elevate vehicle safety,
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