This article is from the Automotive Electronics Network The automotive autonomous driving system (Motor Vehicle Auto Driving System) is an intelligent car system that achieves driverless operation through an onboard computer system. Its structure generally consists of three parts: perception system, decision system, and execution system. Below is an introduction to the basic knowledge and … Read more
Thanks to “Gaogong Intelligent Automotive” for their attention to Synopsys. Currently, the global automotive industry is undergoing a major transformation. With the continuous increase in innovative applications in areas such as ADAS/autonomous driving and V2X, intelligent connected vehicles are becoming heavy-duty computers equipped with a central processing engine. Behind this, the connectivity and complexity of … Read more
In 2024, the global intelligent driving SoC market is expected to exceed $10 billion, reaching an estimated $28.306 billion by 2027, with a compound annual growth rate of 43.11%. 01 Intelligent Driving SoC Chips Market Demand Generally, different vehicle models from manufacturers have different market positioning, which determines the price range of the models. Models … Read more
1. The Past: The Emergence and Bottlenecks of Automotive ECU ECU (Electronic Control Unit) is also known as the “driving computer” of the car. Its purpose is to control the driving state of the vehicle and realize its various functions. It mainly utilizes data collection and exchange from various sensors and buses to determine the … Read more
What is a Domain Controller Over the past decade, the development of automotive intelligence and information technology has led to a significant increase in the usage of ECU chips. From traditional engine control systems, airbags, anti-lock braking systems, electric power steering, and electronic stability control systems; to intelligent dashboards, entertainment systems, and driver assistance systems; … Read more
(Report Producer/Author: Dongfang Securities, Pu Junyi) 1. In the Era of Software-Defined Vehicles, the Architecture of Intelligent Automotive Software is Gradually Advancing Towards SOA 1.1 Software Becomes the Core of Differentiation for Intelligent Vehicles In the trend of automotive intelligence, “Software Defined Vehicles” (SDV) has become an industry consensus. Simply put, SDV means that software … Read more
Abstract This article explores the roles of DCU, MCU, and MPU in the electronic and electrical architecture of autonomous driving, comparing the advantages of distributed and centralized architectures, as well as the development history of ADAS systems from L0 to L2+. It focuses on the differences between MCU and MPU, and their key roles in … Read more
Overview The surround view system utilizes four wide-angle fisheye cameras around the vehicle, typically installed at the front, rear, and below the side mirrors, to create a 360-degree blind spot-free coverage around the vehicle. The surround view system provides a panoramic parking video assistance and integrates multiple warning functions, becoming an important component in the … Read more
In-Vehicle Cameras: The Eyes of Autonomous Driving In-vehicle cameras are known as the “eyes of autonomous driving” and are the core sensing devices in ADAS systems and the field of automotive autonomous driving. They mainly collect image information through lenses and image sensors, achieving 360° visual perception and compensating for radar’s shortcomings in object recognition, … Read more
Author / A Bao Editor / A Bao Produced by / A Bao 1990 As mentioned earlier, with each increase in the level of autonomous driving, the required computing power of the chips will increase by dozens of times. The computing power requirement for L2 level autonomous driving is only 2-2.5 TOPS, but for L3 … Read more