Development Status and Prospect Analysis of Autopilot Technology
Autopilot is a product of deep integration of the automotive industry with next-generation information technology such as artificial intelligence, Internet of Things, and high-performance computing. It is the main direction for the development of intelligent and networked vehicles in the global automotive and transportation field. It has become a competition among countries. Strategic high ground
Autopilot is a product of deep integration of the automotive industry with next-generation information technology such as artificial intelligence, Internet of Things, and high-performance computing. It is the main direction for the development of intelligent and networked vehicles in the global automotive and transportation field. It has become a competition among countries. Strategic commanding heights. This article focuses on the technologies and standards involved in autonomous driving, as well as the progress and trends in testing and deployment at home and abroad.
Judging from the overall development of autonomous driving at home and abroad, Virtue leads the tide of the development of the autonomous driving industry. Japan and South Korea are rapidly awakening, and China is catching up. Specifically, the following trends are reflected:
(1) Accelerate the promotion of pavement testing and regulations with the goal of commercialization as soon as possible
In terms of road testing, the United States, Germany, Japan, South Korea, and China have all actively promoted road testing as the basis for autonomous driving applications. From an international perspective, countries have taken 2020 as an important time node, hoping to achieve full deployment of autonomous vehicles.
The United States actively promotes autopilot legislation at the state level. By the end of 2016, 16 states had passed relevant bills or administrative orders to clarify test conditions and requirements, allowing companies to conduct road tests at the state level.
The German government has allowed autonomous vehicle testing on the A9 motorway connecting Munich and Berlin in 2015. The transportation department also subsidized the Diginet-PS autopilot pilot project in Berlin in March this year to develop processing systems and provide Real-time traffic information for autonomous driving.
Japan's Nissan has tested its self-driving car LEAF in Tokyo, Silicon Valley and London, hoping to accumulate safety test records as soon as possible.
South Korea has now issued 13 autopilot test licenses and plans to commercialize Tier 3 autopilots by 2020.
From the perspective of China, the Ministry of Industry and Information Technology carried out the pilot demonstration of Shanghai Intelligent Networked Vehicles in Shanghai in 2016; carried out “Intellectual Vehicles Based on Broadband Mobile Internet and Smart Transportation Application Demonstration” in Zhejiang, Beijing-Hebei, Chongqing, Jilin, Hubei and other places to promote automatic Driving test work.
Beijing has launched a five-year action plan for smart cars and smart transportation applications. By the end of 2020, it will complete the transformation of all trunk roads in the Beijing Development Zone and deploy 1,000 fully-automobile vehicles in phases. In November 2016, Jiangsu signed a tripartite cooperation agreement with the Ministry of Industry and Information Technology and the Ministry of Public Security to jointly build a national intelligent transportation comprehensive test base.
(2) Promoting system R&D and communication standards in the direction of networked vehicles
From the current industry trends, most companies have adopted the development path of Connected Cars, speeding up chip processing capabilities, research and development of autonomous driving cognitive systems, and promoting the introduction of unified vehicle communication standards.
In terms of R&D, the German Bosch Group and NVIDIA are cooperating to develop an artificial intelligence autopilot system. NVIDIA provides deep learning software and hardware. Bosch AI will be based on NVIDIA Drive PX technology and the company's upcoming super chip Xavier, which will provide level 4 Autopilot technology. IBM announced that its scientists have patented a machine learning system that can dynamically change the autonomous vehicle control between the human driver and the vehicle control processor in a potential emergency to prevent accidents.
In terms of vehicle communication standards, communication technologies such as LTE-V and 5G have become the key to the communication standards for autonomous vehicles, and will provide high-speed, low-latency network support for autonomous driving.