Abstract
This comprehensive study delves into the rapidly advancing field of autonomous vehicles (AVs). We explore the core technologies that enable AVs to navigate, perceive their surroundings, make informed decisions, and control their movements. The intricate interplay between sensor fusion, localization and mapping, planning algorithms, and control systems is examined. A critical focus of this research is on the ethical and societal implications of AV deployment. We analyze the crucial considerations surrounding safety, security, legal frameworks, and ethical guidelines that must be addressed to ensure responsible adoption of AVs. The potential social and economic impacts of widespread AV adoption are examined, including implications for transportation infrastructure, job markets, and urban planning .Furthermore, this study explores the exciting future directions of AV technology. We discuss emerging trends and innovations, such as the integration of artificial intelligence and machine learning, advancements in sensor technology, and the development of advanced communication networks. These developments hold the promise of further enhancing the capabilities and reliability of AVs, paving the way for a future where autonomous transportation becomes a ubiquitous part of our daily lives. Keywords and Phrases: Autonomous Vehicles, Sensor Fusion, Localization and Mapping, Planning Algorithms, Control Systems, Safety, Security, Legal Frameworks, Ethical Considerations, Social Impact, Economic Impact, Future Directions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.