In the field of autonomous driving, verifying domain controller algorithms is a crucial step in ensuring the safe and reliable deployment of autonomous driving technologies to the market.
Hardware-in-the-loop (HIL) injection testing stands as one of the essential testing methodologies in autonomous driving system development. By employing simulation or data replay methods, this approach tests the performance of autonomous driving systems across various complex scenarios, significantly expanding laboratory testing coverage while reducing field road testing requirements, thereby enhancing R&D efficiency.
ALG-TECH addresses the challenges in autonomous driving domain controller algorithm verification by introducing a comprehensive hardware-in-the-loop (HIL) injection testing solution. This solution encompasses hardware, software, and customized services, providing a unified toolchain that offers one-stop fulfillment for multi-scenario testing requirements. Our solution significantly reduces testing costs while enhancing R&D efficiency.
■ Full-Stack Design: Adopting an integrated bench design scheme, it provides a one-stop integration of various data injection for Hardware-in-the-Loop (HIL) testing and offers a unified operation management backend.
■ Open Platform: With strong adaptability and flexible and optional configurations, it supports expansion and customized development. It possesses the capability to continuously integrate multiple types of sensors, meeting future testing needs.
■ Data Synchronization & Consistency: It achieves millisecond-level high-precision data synchronization injection, ensuring data real-time performance and consistency in data content, frame rate, and timing sequence.
■ Multi-Scenario Applications: It meets the requirements of Hardware-in-the-Loop data refeeding and simulation injection testing for autonomous driving systems. It supports fault and functional safety verification, enhancing the testing efficiency of autonomous driving systems.
