The in-vehicle computing platform is the “brain” of intelligent connected vehicles and a barometer of the industry transformation. The entire industry chain, from hardware to software, is filled with opportunities. First, the heterogeneous hardware platform is the core of intelligent connected vehicles in the era of computing power. As the degree of intelligence in vehicles … Read more
(Report Author: Open Source Securities, Ren Lang, Zhao Xu Yang) 1. Best Aid for Visual Perception – 4D Imaging Millimeter-Wave Radar 1.1. Perception is the Primary Step in Autonomous Driving, and High-Performance Sensors are Essential The perception phase is responsible for detecting, identifying, and tracking targets, marking the first step in achieving autonomous driving. To … Read more
The popularity of large-scale language models like ChatGPT and GPT-4 has quickly ignited public enthusiasm for artificial intelligence, drawing strong attention from the industry towards AI chips. Compared to general-purpose chips like CPUs and GPUs, NPUs (Neural Processing Units) can handle AI workloads with simpler control flows, higher efficiency, and lower power consumption. With the … Read more
Introduction: When Cars Start to ‘Think’ With the rapid development of autonomous driving technology, ADAS (Advanced Driver Assistance Systems) has become the ‘smart brain’ of modern vehicles. From automatic braking to lane keeping, these functions make driving safer and easier. But have you ever wondered what rigorous tests these ‘smart’ features undergo before mass production? … Read more
Click the “Computer Vision Life” above and select “Star”. Quickly obtain the latest insights. 1. Introduction The intelligence of autonomous vehicles depends on algorithms, leading to the emergence and popularity of the concept of software-defined vehicles. However, to realize software-defined vehicles, a hardware computing platform or domain controller capable of supporting highly intelligent and computationally … Read more
On the testing track of Xiaopeng’s R&D center in Guangzhou, a G7 is simulating an automatic emergency lane change in heavy rain. Raindrops are densely hitting the windshield, with visibility below 50 meters. The system suddenly detects an obstacle ahead and completes a deceleration lane change in 0.3 seconds—this reaction time is 1.2 seconds faster … Read more
Click the blue text above to follow Tian Nan. The approach to autonomous driving cannot solve the mass production issues of robotics in the short term. Written by｜Tian Nan Over the weekend, I chatted with friends in the autonomous driving field, and they asked me not to switch to humanoid robotics. I have to admit, … Read more
Edge AI: Reconstructing the underlying logic of intelligent terminals. Edge AI (Edge AI) achieves localized data processing by embedding the computing, reasoning, and decision-making capabilities of artificial intelligence directly into terminal devices (such as smartphones, smart cars, industrial robots, etc.). Compared to traditional architectures that rely on cloud services, its core advantages are: Low latency … Read more
1. NVIDIA Core Architecture and Technical Features 1. Consumer-grade GPU (GeForce Series) RTX 50 Series (Blackwell Architecture) manufactured using TSMC’s 4NP process, with a transistor density of 208 billionNVIDIA, equipped with the fifth-generation Tensor Core and fourth-generation RT Core, supporting DLSS 4.0 (multi-frame generation technology) and 10TB/s interconnect bandwidthNVIDIA.The flagship model RTX PRO 6000 workstation … Read more
Disclaimer:All articles and comments from this account are for record-keeping and sharing purposes only and do not constitute any investment advice. The stock market has risks; please invest cautiously. In fact, the biggest hotspots in the market today come from two themes: AI and robots. Following the development of robots, there has been speculation about … Read more