Establishment of Testbed Environment for Lv.4 Automated Vehicle

Lv.4 자율주행 차량 테스트베드 환경 구축

K-City testbed for autonomous vehicles

Development of a Testbed Environment at K-City

A testbed environment is being established within K-City to support the development and safety evaluation of Level 4/4+ cooperative autonomous driving technologies.
This includes building an infrastructure-autonomous driving integration platform, developing realistic virtual traffic scenarios, and implementing system-level scenario evaluation techniques.
The testbed is designed to verify the performance of autonomous vehicles under various Operational Design Domains (ODDs), including fallback and dynamic driving tasks.
Key technologies such as vehicle-in-the-loop simulation, infrastructure-based coordination, and cooperative perception are integrated to ensure reliable testing in a real-world environment.

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Scenario-based simulation using MORAI SIM

Scenario-based Testing and Simulation Using MORAI SIM

Real vehicle data is used to generate diverse traffic scenarios, which are implemented within MORAI SIM for evaluating the safety and performance of autonomous driving technologies.
These scenarios are tested through Vehicle-in-the-Loop (VILS) experiments conducted within K-City, enabling realistic feedback in a living lab environment.
Scenario-based testing is performed through execution methods that account for diverse environmental and traffic variables. To support the evaluation of Level 4/4+ autonomous and cooperative driving technologies, a comprehensive scenario set has been developed using MORAI SIM.

Scenario generation and validation framework

Development of Scenario Technologies for Validating Lv.4/4+ Cooperative Autonomous Driving

A simulation-based test environment is being developed to validate Lv.4/4+ autonomous and cooperative driving technologies.
To ensure realistic evaluation, scenario development and testing are conducted within K-City through Vehicle-in-the-Loop (VILS) testing. These scenarios are executed using various traffic and environmental parameters to reflect diverse real-world conditions.
Diverse virtual traffic scenarios are created in MORAI SIM based on real vehicle data, supporting the safety and reliability evaluation of autonomous driving services.

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