Autopilot HiL Simulation Program
End-to-End Intelligent Driving Scene Simulation | High Fidelity Simulation | Highly Flexible and Stable Sensory Data Output | Support for Multi-GPU Distributed Simulation
Honghong's HiL simulation solution provides a highly efficient and reliable test platform for comprehensive verification of intelligent driving systems. Developed specifically for ADAS/AD validation, the solution maps data from the simulation environment to the bus communication, and the modular system supports all development stages from open loop to closed loop, seamlessly integrating into the user's existing environment and realizing 24/7 high-bandwidth operation.
Program Advantage
End-to-End Intelligent Driving Scenario Simulation
Simulates the entire automated driving process from sensor input to vehicle control, supporting the creation of complex traffic scenarios including city streets, highways, and country roads.
Simulates multiple environmental conditions and traffic situations to help developers and testers test and optimize ADAS/AD systems in virtual environments to ensure their reliability and safety in the real world
High fidelity simulation
The simulated scenes provided by Macrohon are highly reproducible with real-world inspection performance and provide reliable simulation results (the Recall result of the MLM algorithm in the Macrohon Bio-scene is 64.68, which is close to the Recall result of the real-world scene).
High-fidelity simulations help developers accurately evaluate and optimize autonomous driving systems in a virtual environment, reducing the risks and costs involved in real-vehicle testing
Highly flexible and stable sensory data outputs
Integration of PCIe-based video injection boards, realizing low-latency and high-stability video data injection, and direct access through DMA memory, realizing <1ms latency between data from GPU and injection boards, ensuring high efficiency and real-time image transmission.
Provides 4K-level data channel bandwidth, which can satisfy the demand of high resolution, low latency and high stability image data of the automatic driving system, and enhance the accuracy and reliability of HiL test.
Supports multi-GPU decentralized simulation
Supports multi-GPU distributed simulation, utilizing the parallel computing power of multiple GPUs to significantly improve simulation efficiency and performance.
Multi-GPU architecture enables complex driving scenes and algorithms to be tested in less time and provides strong support for real-time processing of high-fidelity sensor data and scene synthesis data.
Program Configuration
aiSim Automatic Driving Simulation Platform
- Provides highly scalable and high-fidelity sensor and environment simulation, introducing features such as high parallelism, reduced memory footprint, balanced workload and asynchronous data transfer.
- Optimize resource usage for testing process to accelerate ADAS/AD system development
ADTF Autonomous Driving System Development Framework
- Integrate and manage components during simulation testing, provide user-friendly and powerful user interface, support customized group component development, integrate open source and user-specific test hardware and software.
- Users can easily configure, monitor and analyze the test process to improve development and testing efficiency.
Closed HiL bench case
Real-time ADAS/AD system validation based on scene in HiL environment
12× Camera + 6× Millimeter Wave Radar Live Demonstration
- DMA-based low latency data injection
- Based on NI PXI device integration
- Decentralized transportation
Choose Honghong, CustomizedPreferred HiL Solution
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