A must-see for professors! "You can immediately verify concept examinations with actual machines!" Multiple vehicles for research on autonomous vehicle operation control. *Introduction video now available!
The Quanser Self-Driving Car Studio is an ideal platform for exploring a variety of research topics for educational and academic purposes in an accessible and appropriate manner. It can be used to quickly start research or to provide students with a genuine hands-on experience to learn about the essence of autonomous driving. This studio comes equipped with the tools and components necessary to generate datasets, perform mapping, navigation, machine learning, and test and validate other advanced autonomous driving concepts at home or on campus. *For more details, please contact us or download the PDF (English version). *I don't think there are any manufacturers that can provide such a studio set. Please consider it!
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basic information
**Features** QCar is an open architecture scaling model vehicle equipped with the NVIDIA Jetson TX2 supercomputer, various sensors, cameras, encoders, and user-expandable IO. **Supported Software** Compatible with Simulink, Python, C++, and ROS. **Contents** QCar (vehicle) High-performance computer with RTX Monitors (3 units) High-performance router Wireless gamepad Floor set (road panels, traffic signs) Real-time control software QUARC *Additional vehicles can be selected beyond the contents listed above.*
Price information
The price varies depending on the contents of the set. Please contact us for more details.
Delivery Time
※120 days
Applications/Examples of results
- Launching a new lab - Accelerating research with a pre-prepared studio set - QCars can be customized for research purposes - Choose from multiple software environments, benefiting from inter-language communication - Enhance physical lab applications with simulation, visualization, augmented reality, and mixed reality - Can be controlled individually or in groups, suitable for various research purposes - Autonomous driving - Machine learning - Artificial intelligence
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