Simulation-tools-review.md

@@ -14,6 +14,7 @@
 | TierIV scenario_simulator_v2 | TierIV format, OpenSCENARIO 1.0 | ZeroMQ | available | available |
 | PolyVerif | SCENIC, Python | PythonAPI (SVL) | Available | in development |
 | SVL Simulator | VSE, Python, SCENIC, Tier IV (tbd), MSDL (tbd) | PythonAPI (SVL) | ----- | in development |
+| MORAI SIM: Drive | Python, OpenSCENARIO 1.1, TierIV (tbd), MSDL (tbd) | PythonAPI (MORAI SIM), gRPC, UDP, ROS1, ROS2 | available | beta testing |
 
 ### Detailed description of integration interface
 
@@ -36,6 +37,7 @@ https://tier4.github.io/scenario_simulator_v2/design/ZeroMQ/
 | SVL | SVL is one of the most mature simulators available. It provides integration with Apollo Auto and Autoware platforms, as well as communication interfaces for ROS and ROS2. Simulation is based on Unity Engine and supports real-time simulation of all the sensors required for autonomous driving research (using distributed simulation if needed). It is free to use with source code available on GitHub. | <https://svlsimulator.com/> | X | X |
 | CARLA | Carla is one of the most popular simulators for autonomous driving research. It has flexible API for all aspects of simulations (traffic generation, pedestrians behaviour, sensors etc.). Carla provides simulation of multiple sensors, hardware in the loop integration and ROS interface. Big advantage of CARLA simulator is availability of high number of digital assets (urban layouts, vehicles, buildings) that can be used freely. | <https://carla.org/> | - | - |
 | RoSi | RoSi is an entire simulation platform for E2E validation and testing of Autonomous vehicles. Its part is Unity based simulation with high performance ROS2 communication and optimized simulation of multiple ego-vehicles. Main focus of RoSi simulation platform is simulation of confined areas use cases | <https://robotec.ai/> | X | X |
+| MORAI SIM: Drive | MORAI SIM: Drive provides high fidelity virtual testing environments covering a wide range of validation activities from MIL to VIL. It features a highly automated digital twin creation feature, easy-to-use GUIs for users, accurate yet efficient vehicle dynamics. It is already being used by many customers including Hyundai, Naver (Korean Google), and over 50 universities | <https://morai.ai/> | X | X |
 
 ### Sensors :
 | Simulator | LIDAR (Rotating) | LIDAR (Directional) | GNSS | Camera | RADAR | IMU | CAN |
@@ -44,6 +46,7 @@ https://tier4.github.io/scenario_simulator_v2/design/ZeroMQ/
 | SVL | X | X | X | X | X | X | X |
 | CARLA | X | - | X | X | X | X | X |
 | RoSi | X | X | X | X | - | X | X |
+| MORAI SIM: Drive | X | X | X | X | X | X | X |
 
 ## Scenario formats
 | Name | Owner | Abstract/Concrete | Format |