Key Indicators for Autonomous Driving AI Chip Selection

Key Indicators for Autonomous Driving AI Chip Selection

The central controller, as the core component of autonomous driving, acts as the “brain” of the system, typically requiring external connections to multiple cameras, millimeter-wave radars, laser radars, and IMUs, among other devices, to perform functions including image recognition and data processing. The domain controller, as an intelligent hardware, needs to handle complex AI computations … Read more

The Importance and Applications of Chips Beyond Computers and Smartphones

The Importance and Applications of Chips Beyond Computers and Smartphones

In 2017, China’s chip industry imported a staggering $260.14 billion, accounting for about 68.8% of the world’s total. Many people associate chips solely with the CPU (Central Processing Unit) of computers and smartphones, but chips come in various forms. △ The chip core after removing the cover Chips are everywhere Your router at home requires … Read more

Real-Time Face Mask Detection SoC Based on ARM Cortex-M3 Processor and Deep Learning Accelerator

Real-Time Face Mask Detection SoC Based on ARM Cortex-M3 Processor and Deep Learning Accelerator

The new year’s competition is in full swing~ To help everyone understand this event better, the editor has compiled excellent works from 2021 for learning and sharing. We will share award-winning works every Monday, so remember to check back for the series~ Team Introduction Participating Unit: Shenzhen University Team Name: Giants of Light Advisors: Zhong … Read more

20 Key Indicators for Selecting AI Chips in Autonomous Driving

20 Key Indicators for Selecting AI Chips in Autonomous Driving

The central controller is the core component of autonomous driving, serving as the “brain” of the system. It typically needs to connect multiple cameras, millimeter-wave radars, lidar, and IMU devices to perform functions such as image recognition and data processing. The domain controller, as an intelligent hardware, needs to handle the ultra-large computing power requirements … Read more

On-Demand Optimizing Deep Learning Model Based on Edge Computing

On-Demand Optimizing Deep Learning Model Based on Edge Computing

022 Issue 9 Directory | Special Topic [Edge Artificial Intelligence for 6G] Intent-Driven Edge Intelligent Network for 6G Intelligent Grouping Mechanism in 6G Drone Edge Computing Scenarios Wireless Federated Learning Based on Spiking Neural Networks Special Topic 4 Edge Artificial Intelligence for 6G Mobile Communications, 2022 Issue 9 On-Demand Optimizing Deep Learning Model Based on … Read more

Yu Kai Discusses Embedded AI: A Revolution from the Edge

Yu Kai Discusses Embedded AI: A Revolution from the Edge

Founder and CEO of Horizon Robotics Yu Kai From Center to Edge In the past, big data, big models, and big computing have driven academic research and industrial development. All computing, from PCs to mobile devices, has shown a trend of aggregation towards cloud computing and data centers. However, I believe that in the next … Read more

Jetson Drone Embedded AI Platform

Jetson Drone Embedded AI Platform

Geeks’ pursuit of drones is endless. In addition to requiring a lightweight design and ultra-long endurance, the most important aspect is to have an intelligent ‘brain’. Ideally, this intelligent brain should excel in performance, capable of deep learning, while also being compact and easy to mount due to its physical size. This has led to … Read more

Why Not Choose Domestic Radar for ADAS Fusion Solutions?

Why Not Choose Domestic Radar for ADAS Fusion Solutions?

Click the link at the bottom to read the original article and register for the conference online. Join the Gaogong Intelligent Automotive Industry Group (Autonomous Driving Group 5, Vehicle Networking Intelligent Cockpit Group 3, Intelligent Commercial Vehicle Group) by adding WeChat: 17157613659 and showing your business card, limited to automotive parts and OEM manufacturers. In … Read more

Data-Driven Mechanical Equipment Fault Prediction and Maintenance Strategy Optimization

Data-Driven Mechanical Equipment Fault Prediction and Maintenance Strategy Optimization

Abstract How to better predict mechanical failures and manage health is a key concern for modern mechanical manufacturing enterprises. With the development of sensor hardware technology and advancements in computer storage technology, massive amounts of data can be processed and stored. Data-driven mechanical equipment fault prediction and maintenance technology is gradually gaining widespread application. “Data-Driven … Read more

LiDAR Sensor Data Processing Techniques and Accuracy Improvement Methods

LiDAR Sensor Data Processing Techniques and Accuracy Improvement Methods

Working Principle of LiDAR Sensors LiDAR, or Light Detection and Ranging, is a sensor that determines the distance, position, and shape of target objects by emitting laser beams and measuring the time it takes for the reflected light to return. The working principle involves emitting laser pulses, which, upon hitting a target, are reflected back … Read more