Automated-Driving Control Unit
AI Mobile Edge Computing Platform
From ADAS (advanced driver assistance systems ) to full Level 5 autonomy, with a special focus on artificial intelligence, machine learning, sensors, and software, GIGABYTE ECU handles the main control for the self-driving vehicles. It handles tasks like converting throttle input to torque requests, safety systems monitoring, control loops, and power limiting and the most crucial key is the combination of sensors and actuators, sophisticated algorithms, and powerful processors to execute software.
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Why Automated-Driving Control Unit
Powerful Artificial Intelligence platform
Support Nvidia GPU and Movidius VPU, provide powerful computing capability of recognition and decision for the automated driving.
Rich and flexible I/O design
High-speed interfaces for connecting sensors and related peripheral equipment, collects and transmits data in real time
Smart Power control
Wide range power management (9 36V) build in ignition power control.
Rugged mechanism design
Fully rugged and fanless chassis mechanism designed for the harsh environment
Rich communication interfaces
Various communication interfaces: CAN, BT5.0, LTE(4G/5G), WIFI, C-V2X
Wide range working tempe
Endures wide range working temperature and harsh environment.
Further Reading
【Insight】－Way in The Future
Car accidents causes can mostly be connected to driver distraction or misjudgment. For this reason, the development and implementation of vehicle safety systems have grown, especially in the last decades. Thanks to the technologies advances, the automotive industry increases to adopt sensor and microcontroller in order to perceive environment inputs and to autonomous intervenes on the driving activity. Advanced Driver Assistance Systems (ADAS) are emerging as fundamental to improve road safety. ADAS is the first step towards autonomous vehicles. Autonomous vehicle-related technologies offer the possibility of fundamentally changing transportation. Cars with these technologies will likely reduce crashes, energy consumption, pollution and reduce the costs of congestion.
【Insight】－ From ADAS to Autonomous-Driving
From ADAS (advanced driver assistance systems ) to full Level 5 autonomy, with a special focus on artificial intelligence, machine learning, sensors, and software, the computing unit handles the main control for the self-driving vehicles. It handles tasks like converting throttle input to torque requests, safety systems monitoring, control loops, and power limiting and the most crucial key is the combination of sensors and actuators, sophisticated algorithms, and powerful processors to execute software.
【Solution】－GIGABYTE PILOT Family
The GIGABYTE PILOT deploys powerful main processor and GPU solutions to use the power of AI and deep learning to deliver an autonomous driving solution from data collection, model training, and testing in simulation to the deployment of smart, safe auto-pilot cars.
GIGABYTE PILOT creates a comprehensive environmental model by fusing various sensors in and around the car to computes the best driving strategy for maximum driver safety and convenience. It makes decisions and triggers actuators and is designed to meet the highest safety and security standards. Whatever enhanced ADAS function you would like to design, it's for certain to find the right automotive-grade platform solution from the GIGABYTE PILOT product family.
【Success Case】 －Equipped with GIGABYTE ADCU3-100 ECU, Winbus - Taiwan’s 1st homegrown self-driving electric minibus official operation in Taiwan
The WinBus achieves the capability of SAE Level 4 autonomous-driving (high-automation) standard. In fixed or closed fields, the WinBus can fully accomplish all environment-monitoring and self-driving tasks without human intervention. The Made-in-Taiwan (MIT) minibus equipped with GIGABYTE ADCU3-100 ECU for decision-making, control, and network connection etc, passed the self-driving sandbox operation review and relevant safety verifications, official launched to carry passengers on the road in Taiwan.