Understanding Autonomous Driving Technology

Understanding Autonomous Driving Technology

Introduction The autonomous driving system is a comprehensive system integrating functions such as environmental perception, decision-making control, and action execution. It is a system that fully considers the coordination planning between vehicles and the traffic environment, and it is also an important component of future intelligent transportation systems. This article focuses on analyzing the relevant … Read more

Introduction to Hardware and Software Technologies of Autonomous Vehicles

Introduction to Hardware and Software Technologies of Autonomous Vehicles

Source: Shenyang Institute of Automation, Chinese Academy of Sciences Everyone knows that intelligent vehicles are a comprehensive system that integrates functions such as environmental perception, planning and decision-making, and multi-level assisted driving. It utilizes technologies such as computer science, modern sensing, information fusion, communication, artificial intelligence, and automatic control, making it a typical high-tech composite. … Read more

Introduction to Hardware and Software Technologies for Autonomous Vehicles

Introduction to Hardware and Software Technologies for Autonomous Vehicles

This article is reprinted from:Zhihu Everyone knows that an Intelligent Vehicle is a comprehensive system that integrates environmental perception, planning and decision-making, and multi-level driving assistance functions. It utilizes technologies such as computer science, modern sensing, information fusion, communication, artificial intelligence, and automatic control, making it a typical high-tech complex. The key technologies of autonomous … Read more

In-Depth Analysis of In-Vehicle Intelligent Computing Platform and SOA Architecture

In-Depth Analysis of In-Vehicle Intelligent Computing Platform and SOA Architecture

01 Reference Architecture of In-Vehicle Intelligent Computing Platform The in-vehicle computing platform focuses on characteristics such as system reliability, real-time operation, distribution elasticity, and high computing power, achieving functions such as perception, planning, control, networking, and cloud control, ultimately completing safe, real-time, and scalable multi-level autonomous driving core functions. As shown in Figure 10, the … Read more

Understanding The Software And Hardware Architecture Of Smart Cars

Understanding The Software And Hardware Architecture Of Smart Cars

Software Architecture Industry Chain With the trend of automotive intelligence, “Software Defined Vehicles” has become an industry consensus. Software Defined Vehicles (SDVs) refer to the deep involvement of software in the definition, development, verification, sales, and service processes of vehicles, continuously changing and optimizing each process to achieve ongoing optimization of experience, processes, and value … Read more

Introduction to Automotive Intelligent Technology

Introduction to Automotive Intelligent Technology

Automotive Intelligent Technology The intelligence and connectivity of automobiles have become the focus of development in the global automotive industry. As an upgrade of automotive products and technologies, intelligent connected vehicles will bring profound changes to the automotive and related industries. China has also clearly identified the intelligent connected vehicle industry as a national strategy … Read more

Understanding V2X Technology for Autonomous Driving

Understanding V2X Technology for Autonomous Driving

Image Source: stock.adobe.com Vehicle to Everything (V2X) technology, simply put, enables vehicles to communicate with various objects that they can interact with, including other vehicles, pedestrians, roadside infrastructure, and networks. V2X connects pedestrians, vehicles, roads, clouds, and other traffic elements, allowing vehicles to gather more information and facilitating innovation and application of autonomous driving technologies. … Read more

Mainstream Autonomous Driving Chips: GPU, FPGA, ASIC

Mainstream Autonomous Driving Chips: GPU, FPGA, ASIC

The current mainstream AI chips can be divided into three categories: GPU, FPGA, ASIC. Both GPU and FPGA are relatively mature chip architectures and belong to general-purpose chips. ASICs are chips customized for specific AI scenarios. The industry has confirmed that CPU is not suitable for AI computing, but it is still indispensable in the … Read more

Top 10 Cutting-Edge Technologies in Robotics

Top 10 Cutting-Edge Technologies in Robotics

1. Flexible Robot Technology Flexible robot technology refers to the design using flexible materials and structures, allowing robots to possess characteristics such as flexibility, agility, lightness, and durability, enabling them to work in irregular, complex, and hazardous environments. These robots can achieve high levels of autonomy, have good adaptability and intelligence, and can perform a … Read more

Communication and Storage Technologies for Advanced Autonomous Driving Systems

Communication and Storage Technologies for Advanced Autonomous Driving Systems

Advanced autonomous vehicles require high-bandwidth and low-latency networks to connect all sensors, cameras, diagnostic tools, communication systems, and central artificial intelligence. These technologies generate, send, receive, store, and process vast amounts of data. For the next generation of autonomous driving domain controllers, commonly used in-vehicle networks include CAN, LIN, FlexRay, MOST, and LVDS. Except for … Read more