Introduction In the era of software-defined vehicles, the role of middleware has become increasingly important. As E/E architecture gradually centralizes, the automotive software system has seen a coexistence of multiple operating systems, leading to a sharp increase in system complexity and development costs. To enhance the manageability, portability, configurability, and quality of software, it is … Read more
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With the transition from traditional fuel vehicles to hybrid and eventually pure electric vehicles, addressing global climate change and achieving carbon neutrality goals, the future of autonomous vehicles cannot be ignored. Today, autonomous driving capabilities are continuously evolving at the vehicle level. The automation levels defined by SAE are shown below: The majority of current … Read more
This article is from Yanzhi Autonomous Driving The intelligent connectivity of automobiles brings a significant increase in information flow, and the automotive electronic and electrical (EE) architecture will undergo an upgrade. This evolution is akin to the changes in the organizational structure of ancient Chinese society, from feudal lords to the five hegemons of the … Read more
In the New Electronic Architecture, How Does the Development Trend of Vehicle Controllers Evolve? 1. Controller (ECU): The Core of Functional Control, Assisting in Achieving Various Functions The central control hub for functions, processing input signals to achieve functional control. The automotive controller is a key component for implementing overall vehicle functional control, generally composed … Read more
Autonomous driving is an important application of edge computing, requiring 100-1000 TOPS of Edge AI computing power, which has become an industry barrier due to its high performance and low power consumption. AI computing requires domains to optimize algorithms and data flow architectures. The Moore’s Law is nearing its limits; without the correct algorithms and … Read more
Source: GF Securities With the development of intelligent connected vehicles, the number of onboard sensors is increasing, and the improving performance leads to a higher demand for computing power in onboard computing platforms. Compared to lower-level autonomous driving, advanced autonomous driving systems significantly increase the amount of data obtained from sensors, and the effective operation … Read more
🫱Click here to join the 16 specialized direction discussion group (🔥Recommended)🫲 Abstract: The authors introduce a Multi-Modality Driven Low-Rank Adaptation (MMD-LoRA) method that utilizes low-rank adaptation matrices to achieve efficient fine-tuning from the source domain to the target domain, addressing the Adverse Condition Depth Estimation (ACDE) problem. It consists of two core components: Prompt-based Domain … Read more
Source: Value Insights 1. Ongoing Upgrades of Automotive Sensors The functions of automotive sensors have evolved from merely perceiving internal systems to also considering the perception of the environment and people. Based on their functions, automotive sensors can be divided into two main categories: environmental perception and body perception sensors. Body perception sensors are responsible … Read more
Overview of Automotive Chips Automotive-grade semiconductors, commonly known as “automotive chips”, are semiconductors used in vehicle control devices, in-vehicle monitoring devices, and in-vehicle electronic control devices, among other fields. They are primarily distributed in vehicle control modules, in-vehicle infotainment systems, integrated powertrain control systems, active safety systems, and advanced driver-assistance systems. Compared to traditional fuel … Read more