ADAS
What is it?
Advanced Driver Assistance Systems (ADAS) constantly monitor the vehicle surroundings, alert the driver of hazardous road conditions, and take corrective actions, such as slowing or stopping the vehicle. These systems use inputs from multiple sensors, such as cameras and radars. The fusion of these inputs is processed and the information is delivered to the driver and other parts of the system.
Why do you need it?
ADAS aims to drastically reduce road accidents and the associated casualties by helping drivers avoid collisions altogether. These systems react faster than any human, are constantly vigilant, and are already being adopted and deployed across various car segments, from premium to economy models.
How is GIGABYTE helpful?
GIGABYTE designed an automated-driving control unit to be the core controller of autonomous vehicles or ADAS vehicles. The experimental prototype of a driverless car has no steering wheel, gas pedal, or brake pedal, being 100% autonomous. GIGABYTE is building up autonomous vehicle (AV) ecosystem to partnerships and to service the compute needs of the whole car, including advanced driver assistance and autonomous systems.
WE RECOMMEND
RELATED ARTICLES
Success Case
GIGABYTE PILOT: The Autonomous-Driving Control Unit at the Heart of Taiwan’s First Self-Driving Bus
Developed by the Automotive Research Testing Center (ARTC), the WinBus is Taiwan’s first self-driving electric bus that has reached SAE Level 4 Driving Automation. GIGABYTE PILOT, GIGABYTE Technology’s Autonomous-Driving Control Unit (ADCU), is the AI Mobile Edge Computing Platform at the heart of the autonomous vehicle. It provides superb processing power to support the deployment of self-driving AI algorithms, versatile connectivity to act as the hub between onboard sensors and the vehicle control system, and a rugged and reliable design that is ready for long-term operations. GIGABYTE PILOT is the ideal choice for autonomous vehicles, vessels, heavy machinery, and autonomous mobile robots (AMRs).
Success Case
0 to 100 KPH in 3.3 Seconds! NTHU Builds Electric Formula Student Race Cars with GIGABYTE
Representing Hsinchu’s Tsing Hua University, NTHU Racing is one of Taiwan’s top Formula Student racing teams. In 2019, its electric formula student race car, the “TH04”, took second place in Formula SAE Japan. In August of 2022, its new and improved, 100% manufactured in Taiwan “TH06” raced for the gold in Formula Student Germany. Tsing Hua University built the “TH06” using GIGABYTE Technology’s W771-Z00 and W331-Z00 Tower Server/Workstation products. From finite element analysis (FEA) and computational fluid dynamics (CFD) modelling and analysis during the design phase, to racing simulations and experimenting with new tech during the testing phase, GIGABYTE servers provided NTHU Racing with the processing power and versatility it needed to engineer a high-performing electric vehicle that can go from 0 to 100 kph in 3.3 seconds—almost on par with Tesla’s Model S, which can go from 0 to 60 mph in 2.6 seconds.
Success Case
Server ARM GIGABYTE Meningkatkan Pengembangan Solusi Lalu Lintas Cerdas Hingga 200%
Untuk mengirimkan pertanyaan: Hubungi bagian penjualan Ikuti GIGABYTE di Twitter: http://twitter.com/GIGABYTEServer Sebuah tim ilmuwan di NTU telah mengadopsi server G242-P32 GIGABYTE dan Arm HPC Developer Kit untuk menginkubasi "model arus lalu lintas presisi tinggi" - solusi lalu lintas cerdas yang dapat digunakan untuk menguji kendaraan otonom dan mengidentifikasi ruas jalan yang rawan kecelakaan untuk perbaikan. Solusi berbasis ARM menawarkan proyek peningkatan efisiensi 200% berkat arsitektur prosesor cloud-native yang "berbicara" dengan bahasa pemrograman yang sama dengan sensor di pinggir jalan, tingginya jumlah core CPU yang unggul dalam komputasi paralel, bersinergi dengan GPU yang memungkinkan komputasi heterogen, dan sertifikasi ISO yang membuat model yang dihasilkan mudah digunakan untuk pembuat mobil dan regulator pemerintah.
Success Case
Constructing the Brain of a Self-Driving Car
GIGABYTE’s High Density Servers Help Technology Innovator Develop Algorithm for Autonomous Vehicle.
Tech Guide
Global Autonomous Vehicle Boom: Core Knowledge You Should Never Ignore
