无人驾驶汽车高清地图算法研究

无人驾驶汽车高清地图算法研究(中文4000字,英文2600字)
引言
自上个世纪以来，无人驾驶技术就被提出并得以重视。而近年来，随着大数据、云计算、边缘计算等技术的突破，无人驾驶技术也高速发展起来。无人驾驶取代人类驾驶已经成为趋势，吸引了很多公司在这一领域的研发。如传统汽车行业的宝马、奔驰，新兴公司特斯拉，信息技术行业公司如谷歌、百度等，都在自动驾驶的研究上取得了一定突破。未来无人驾驶技术的普及将会助力人类安全出行、减少驾驶员花费的时间，为生活创造更多可利用的时间和空间。无人驾驶技术，即依靠车内的计算机通过计算等操作代替人类驾驶员驾驶汽车的技术。无人驾驶汽车依靠传感器所采集的各种数据，同时结合车联网、云中心等远程数据与调度，实现汽车的自动驾驶。无人驾驶技术要面临着庞大的数据收集与计算的问题，在行车过程中，每分每秒都会产生大量的数据，而如何在最短的时间里处理数据、判断路况、规划路线、保护乘客安全等问题，都是研究无人驾驶技术道路上的难题。当下，大数据、云计算、边缘计算、人工智能等技术蓬勃发展，极大地改进了无人驾驶的技术。本文结合无人驾驶中所利用的数据和计算相关技术，总结了无人驾驶技术数据与计算的模型，系统分析当下和未来无人驾驶和计算机技术的相关结合，同时还分析了当下无人驾驶在数据与计算中面临的问题，对于未来无人驾驶技术的发展有一定指导作用。

0 Introduction
Since the last century, driverless technology has been proposed and valued.
In recent years, with the breakthrough of big data, cloud computing, edge computing, and other technologies,
Unmanned technology has also developed rapidly. The driverless replacement of human driving has
Becoming a trend has attracted many companies to R&D in this area. Such as traditional cars
The industry's BMW, Mercedes-Benz, emerging company Tesla, information technology industry companies such as
Google, Baidu, etc., have made certain breakthroughs in the study of autopilot. not
The introduction of driverless technology will help people travel safely and reduce the number of drivers.
The time spent to create more available time and space for life.
Unmanned technology, that is, relying on the computer in the car to perform operations such as calculation
The technique of driving a car for a human driver. Driverless cars rely on sensors
All kinds of data collected, combined with remote data and modulation such as vehicle networking and cloud center
Degree, achieve auto driving.
Unmanned technology faces a huge problem of data collection and calculation,
In the process of driving, a lot of data is generated every second, and how to