Application of Artificial Intelligence in Tesla- A Case Study

D. Kumari, S. Bhat
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引用次数: 3

Abstract

Background/Purpose: Artificial intelligence algorithms are like humans, performing a task repeatedly, each time changing it slightly to maximize the result. A neural network is made up of several deep layers that allow for learning. Financial services, ICT, life science, oil and gas, retail, automotive, industrial healthcare, and chemicals and manufacturing sectors are among the industries that employ these algorithms. The electric motor is a new concept, and the automobile industry is now undergoing intensive research to determine whether it is practicable and financially viable. There are already some first movers, such as Tesla, who have successfully established their model and are moving forward. Tesla is forcing the auto industry to adapt quickly. Tesla introduced Autopilot driver capability for its Model S vehicle. Tesla Autopilot is a suite of sophisticated driver-assist technologies that include traffic adjustment, congested roads navigation system, autopilot car-parks, computer-controlled road rules, semi-autonomous route planning on major roadways, and the ability to summon the vehicle out of a designated car-park. This article provides a comprehensive analysis of Tesla Company and Innovations of Autopilot Vehicles. Objective: This case study report addresses the growth of Tesla Company in the field of Autonomous Vehicles. Design/Methodology/Approach: The knowledge for this case study of Tesla was gathered from various academic articles, online articles, and the SWOT framework. Findings/Result: Based on the research, this paper discusses the technological histories, Autopilot driving features, safety concerns, financial plans, market challenges, different models, and how Tesla Inc. is accelerating the world's movement in multiple initiatives such as the contribution of the global economic system, study in the Artificial Intelligence and Machine Learning area. Originality/Value: This paper study provides a brief overview of Tesla Inc. given the various data collected, and information about Tesla Autopilot vehicles using Artificial Intelligence based Innovations in Entrepreneurial Oriented Cars. Paper type: A Research Case study paper - focuses on Application of Artificial Intelligence in Tesla Autopilot Vehicles and growth & Journey of the Tesla Inc. Company.
人工智能在特斯拉汽车上的应用——一个案例研究
背景/目的:人工智能算法就像人类一样,反复执行一项任务,每次都稍微改变一下,以最大限度地提高结果。神经网络由几个允许学习的深层组成。金融服务、信息通信技术、生命科学、石油和天然气、零售、汽车、工业医疗保健、化学和制造业都是采用这些算法的行业。电动机是一个新概念,汽车工业目前正在进行深入的研究,以确定它是否可行和经济上可行。已经有一些先行者,比如特斯拉,他们已经成功地建立了自己的模式,并正在向前发展。特斯拉正在迫使汽车行业迅速适应。特斯拉在其Model S车型上引入了自动驾驶功能。特斯拉的Autopilot是一套复杂的驾驶辅助技术,包括交通调节、拥堵道路导航系统、自动驾驶停车场、计算机控制的道路规则、主要道路上的半自动路线规划,以及将车辆召唤出指定停车场的能力。本文对特斯拉公司和自动驾驶汽车的创新进行了全面的分析。目的:本案例研究报告阐述了特斯拉公司在自动驾驶汽车领域的成长。设计/方法论/方法:特斯拉案例研究的知识来自各种学术文章、在线文章和SWOT框架。发现/结果:基于研究,本文讨论了技术历史,自动驾驶仪的驾驶功能,安全问题,财务计划,市场挑战,不同的模型,以及特斯拉公司如何在全球经济体系的贡献,人工智能和机器学习领域的研究等多个举措中加速世界的运动。原创性/价值:本文研究提供了特斯拉公司的简要概述,给出了收集的各种数据,以及关于特斯拉自动驾驶汽车使用基于人工智能的创业导向汽车创新的信息。论文类型:研究案例研究论文——聚焦于人工智能在特斯拉自动驾驶汽车上的应用以及特斯拉公司的成长与历程。公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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