Drive simulator "SCANeR studio" operation PC
A driving simulation platform that reproduces reality, from advanced driver assistance to autonomous driving.
AVSimulation SCANeR Studio is a real-time driving simulation platform that enables the reproduction and verification of driving environments in the development of ADAS (Advanced Driver Assistance Systems) and autonomous driving. - Faithfully reproduces real road, traffic environments, and weather conditions - Supports modeling of sensors (LiDAR, cameras, radar) and vehicle dynamics - Compatible with SIL (Software-in-the-Loop) and HIL (Hardware-in-the-Loop) environments - Capable of simulating a wide range from individual vehicles to entire cities - Easy integration with other CAE tools and ADAS development software It allows design, development, and verification to be completed in a virtual space, contributing to cost reduction and improved development speed. There are numerous implementation achievements in automotive manufacturers, research institutions, and Tier 1 suppliers.
basic information
- Be-Clia Type-TU2-9 model equipped with NVIDIA GeForce RTX 5090 High-performance configuration optimized for AVSimulation SCANeR Studio. It features a Core Ultra 9 and 128GB of memory, capable of comfortably handling complex real-time simulations. This is a high-spec model that meets the demands of development environments. - Be-Clia Ryzen Type-T90v2-R9 model equipped with NVIDIA GeForce RTX 5090 An optimal configuration for AVSimulation SCANeR Studio. It includes a Ryzen 9 9900X, 128GB of memory, and RTX 5090, achieving stable real-time processing even in high-load scenarios. This is a powerful machine that strongly supports simulation development.
Price information
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Applications/Examples of results
AVSimulation's "SCANeR Studio" is an advanced driving simulation software for research and development in autonomous driving and ADAS (Advanced Driver Assistance Systems). It is characterized by its ability to safely recreate scenarios and hazardous situations that are difficult to replicate in real vehicles within a virtual environment. It has been implemented worldwide by OEMs, automotive parts manufacturers, and research institutions. The software allows for customization of sensor models (LiDAR, cameras, radar) and traffic environments, and it supports integration with HIL (Hardware in the Loop) and AI algorithms. It achieves improved development efficiency and reduced verification costs.
