Self-Driving Cars

Author:

Jha Pooja1ORCID,Patnaik K. Sridhar2ORCID

Affiliation:

1. Amity University, Jharkhand, India

2. Birla Institute of Technology, Mesra, India

Abstract

Human errors are the main cause of vehicle crashes. Self-driving cars bear the promise to significantly reduce accidents by taking the human factor out of the equation, while in parallel monitor the surroundings, detect and react immediately to potentially dangerous situations and driving behaviors. Artificial intelligence tool trains the computers to do things like detect lane lines and identify cyclists by showing them millions of examples of the subject at hand. The chapter in this book discusses the technological advancement in transportation. It also covers the autonomy used according to The National Highway Traffic Safety Administration (NHTSA). The functional architecture of self-driving cars is further discussed. The chapter also talks about two algorithms for detection of lanes as well as detection of vehicles on the road for self-driving cars. Next, the ethical discussions surrounding the autonomous vehicle involving stakeholders, technologies, social environments, and costs vs. quality have been discussed.

Publisher

IGI Global

Reference45 articles.

1. Asif, M., Arshad, M.R., & Wilson, P.A. (2005). AGV Guidance System: An Application of Simple Active Contour for Visual Tracking. Proceeding World Academy of Science, Engineering and Technology, 6, 74–77.

2. Implementation of vehicle detection algorithm for self-driving car on toll road cipularang using Python language

3. Development of an Ontology of Learning Strategies and its Application to Generate Open Learner Models

4. Bertoncello & Wee. (2015). Ten Ways Autonomous Driving Could Redefine the Automotive World. Retrieved from http://www.mckinsey.com/insights/ automotive_and_assembly/ten_ways_autonomous_driving_could_redefine_the_automotive_world

5. Lane Boundary Detection and Tracking using NNF and HMM Approaches

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning on the Role of Eliminating Human Error on the Manufacturing Industry;2022 6th International Conference on Trends in Electronics and Informatics (ICOEI);2022-04-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3