基于人工智能的自动驾驶汽车使用机器人模型

S. Sujitha, Surat Pyari, W. Y. Jhansipriya, Yannam Roopeswar Reddy, R. Vinod Kumar, P. Ravi Nandan
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引用次数: 1

摘要

未来的汽车将更加依赖互联网。它是全电动和独立的,这两种知识都是同样需要的。对车辆安全电子框架的需求不断扩大,司机和旅行者可以依赖,这是信任的基础,并塑造了未来更高水平的机器人驾驶。自动驾驶/无人驾驶/自动化/计算机化车辆的有效和商业利用将使人类的生存更加直接。本文将讨论这一挑战。本文调查了自动驾驶汽车的重要创新。本文对自动驾驶汽车的四个重要进展,特别是红绿灯检测、物体检测、车道末端检测和停车标志检测进行了分析和综述。总结了各国的主要研究机构和研究团队。最后,对自动驾驶汽车进行了讨论,并对自动驾驶汽车的改进模式进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence based Self-Driving Car using Robotic Model
The future cars are more dependent on the internet. It is all-electric and independent, where both the knowledge is equally required. The expanded requirement for safe electronic frameworks in vehicles, that drivers and travelers can depend on, are the underpinning of trust and shape the future towards more elevated levels of robotized driving. The effective and business utilization of self-driving/driverless/automated/computerized vehicle will make human existence more straightforward. This article discusses about this challenge. This paper surveys the vital innovation of a self-driving vehicle. In this paper, the four vital advances in self-driving vehicle, in particular, red and green light detection, object detection, lane end detection and stop sign detection, are tended to and overviewed. The principal research establishments and bunches in various nations are summed up. At last, the discussions of self-driving vehicle are talked about and the improvement pattern of self-driving vehicle is anticipated.
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