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The development of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) requires large volumes of data across the entire development lifecycle.VCARSYSTEM is committed to supporting customers in developing more reliable and innovative solutions by providing comprehensive services, including data acquisition and logging, data replay, system simulation, and validation.

Data Logging

High-quality data is crucial for vehicle design, manufacturing, and operation. Due to the complex sensor configurations in Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) systems, higher standards are required in areas such as sensor compatibility, synchronization accuracy, and data formatting.VCARSYSTEM helps customers overcome these challenges by providing integrated solutions that enable them to focus on enhancing driving safety, improving user experience, and accelerating continuous innovation.

Data Management

The data management platform offers flexible customization, supporting vehicle data collection and uploading to the cloud for centralized management. This platform enables automated data processing and online visual analysis, with effective categorization based on scene tag information. Through semi-automatic labeling, it facilitates the rapid creation of high-quality, large-scale training datasets and the generation of evaluation reports. The platform provides a one-stop solution for complex labeling requirements and customized data evaluation.

Data Replay

To help engineers better understand and effectively evaluate the performance of autonomous driving systems, VCARSYSTEM has launched a series of solutions focused on replay-based system testing.These solutions provide a comprehensive test environment, efficient testing workflows, and in-depth data analysis, ensuring optimal perception performance in autonomous driving systems.

ADAS/AD HIL

AD HIL (Hardware-in-the-Loop) integrates hardware into the testing loop to simulate real-world scenarios, allowing for the testing of algorithms, sensors, and actuators in a safer, more controllable, and repeatable environment. It also supports fault injection, corner case testing, scenario generalization, smoke testing, stress testing, and more. These capabilities ensure that autonomous driving systems can be rigorously tested under a wide range of conditions and potential failure modes before deployment.

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