CIG4-8H Introduction
SENSING CIG4-8H GMSL Video Injection Card
The CIG4-8H is a specialized PCIe hardware solution designed to inject pre-recorded or simulated video data directly into automotive Electronic Control Units (ECUs) through authentic GMSL (Gigabit Multimedia Serial Link) interfaces. This enables comprehensive testing and validation of ADAS/AD algorithms without requiring physical cameras or real-world driving scenarios.
Why choose the CIG4-8H video injection card?
The CIG4-8H GMSL Video Injection Card is specifically designed to solve local video injection and simulation validation challenges. Its core value lies in precisely reproducing real-world scenario data flows, accelerating product testing and algorithm iteration through one-time data collection and repeated algorithm validation.
What problems does video injection solve?
Traditional Testing Limitations
Weather Dependency: Testing limited by environmental conditions
High Costs: Vehicle fleet, drivers, insurance, fuel expenses
Safety Risks: Cannot test dangerous scenarios safely
Poor Repeatability: Difficult to reproduce exact conditions
Time Consuming: Weeks/months for data collection cycles
➡️
Video Injection Solution
Controlled Environment: Laboratory-based, weather-independent
Cost Effective: One-time setup, unlimited testing cycles
Safe Testing: Validate dangerous scenarios without risk
Perfect Repeatability: Identical conditions every time
Rapid Iteration: Immediate testing of algorithm changes
Key Customer Pain Points Solved
Development Efficiency Challenges:
- Algorithm Iteration Bottlenecks: Eliminate weeks-long data collection cycles for each algorithm update
- Scenario Coverage Gaps: Access to unlimited edge cases and corner scenarios impossible to collect naturally
- Testing Consistency Issues: Remove environmental variables that affect algorithm validation results
- Resource Allocation Problems: Free up engineering teams from time-consuming field testing logistics
Technical Validation Needs:
- Regression Testing Requirements: Validate algorithm improvements against consistent baseline scenarios
- Multi-Condition Testing: Test across weather, lighting, and traffic conditions without seasonal limitations
- Safety Validation: Validate emergency scenarios (AEB, collision avoidance) without physical risk
- Integration Testing: Coordinate multi-sensor validation in controlled laboratory environment
Three Core Application Scenarios
Real camera data simulation
Virtual scenario testing
Image processing validation
Application Scenario 1: ADAS/AD Algorithm Development & Validation
System Architecture Diagram
recorded data
Real-World Data Injection Pipeline for ADAS/AD Algorithm Validation
Real Camera Data Simulation for ADAS/AD Testing
Multi-condition road marking validation
Pedestrian/vehicle detection accuracy
Multi-weather condition testing
Real-World Data Injection Capabilities:
- Multi-Camera Simulation: Inject real road-collected camera feeds (RAW/YUV formats) through GMSL interface to replace physical camera inputs
- Authentic Scenario Reproduction: Replay actual driving conditions including various lighting, weather, and traffic scenarios
- Algorithm Performance Validation: Test ADAS functions under controlled conditions with real-world data complexity
- Regression Testing: Validate algorithm improvements against consistent baseline scenarios
Application Scenario 2: Simulation Data Algorithm Validation
System Architecture Diagram
Data
Virtual Scenario Data Pipeline for Simulation-Based Algorithm Testing
GPU-Generated Virtual Scenario Testing
User-defined test conditions
Precise hardware injection
Comprehensive validation
Impossible real-world tests
Corner Case Injection Capabilities:
- Pedestrian Crossing Scenarios: Inject sudden pedestrian appearances, jaywalking, and complex crossing patterns
- Object Misidentification Testing: Simulate guardrail misrecognition, shadow confusion, and false positive scenarios
- Traffic Pattern Anomalies: Test unusual vehicle behaviors, construction zones, and emergency vehicle interactions
- Environmental Edge Cases: Validate performance in tunnel transitions, bridge shadows, and complex lighting
Application Scenario 3: ISP Algorithm Simulation Validation
System Architecture Diagram
Data
Raw Image Processing Pipeline for ISP Algorithm Validation
Image Signal Processing Optimization
Sensor-Level Validation
• Raw image data injection
• ISP algorithm verification
• Noise reduction testing
• Color correction validation
System-Level Integration
• ISP output feedback
• Perception algorithm testing
• AEB trigger accuracy
• ADAS system reliability
ISP Algorithm Simulation Validation Capabilities:
- Raw Image Data Injection: Direct injection of unprocessed sensor data for ISP algorithm simulation validation and tuning
- Parameter Optimization: Test noise reduction strength, color restoration accuracy, and exposure control algorithms
- HDR Processing Validation: Evaluate high dynamic range algorithms across various lighting conditions
- Multi-Camera Consistency: Ensure uniform image processing across camera arrays for surround-view systems
System Integration Validation:
- Sensor Fusion Testing: Coordinate ISP output with radar and LiDAR data for comprehensive perception validation
- Real-Time Performance: Validate processing latency and computational efficiency under various load conditions
- Fail-Safe Integration: Test ISP algorithm behavior during sensor degradation or failure scenarios
- Calibration Verification: Ensure proper camera calibration maintenance across different environmental conditions
How to select the right video injection solution?
CIG4-8H Hardware Block Diagram and System Architecture
Key Technical Capabilities
The CIG4-8H is designed as a modular system device that can be flexibly configured according to customer requirements. It achieves millisecond-level synchronization accuracy for data replay and meets various specific scenario replay requirements through its rich hardware interface array.
8-Channel Video Output
Support 8×3840×2160@30fps
GMSL video data replay with high precision
Data Synchronization
High-precision synchronization
System accuracy within 1ms
Sensor Fault Simulation
Fault injection testing
Comprehensive safety testing coverage
Camera Functional Safety Simulation Injection
Camera functional safety simulation
Comprehensive validation testing
CIG4-8H Core Specifications
Hardware Architecture Overview
Professional-Grade Hardware Components
ZU7EV MPSoC processor
4,800 MB/s bandwidth
High-speed storage
Component Benefits for Your Application:
- Zynq™ UltraScale+™ ZU7EV: Provides the processing power needed for real-time video injection with hardware acceleration
- PCIe Gen3 x8 Interface: Ensures sufficient bandwidth for 8 channels of high-resolution video data transfer
- DDR4 Memory: Enables smooth buffering and processing of large video datasets
- Trigger Interface: Receives trigger input signals from domain controllers for synchronized operation
Video Processing Capabilities
Core Video Processing Specifications:
- Channel Count: Up to 8 simultaneous GMSL video outputs per card
- Maximum Resolution: 8MP (3840×2160) per channel at 30fps
- Validated Resolutions: eg.1920×1080, 1920×1536, 2880×1860, 3840×2160
- Data Bandwidth: 6 Gbps per channel capacity with full utilization
Comprehensive Video Format Support
YUV422 (8-bit)
RAW10/12/14 (10-14 bit)
YUV422, RAW10/12/14
H.264/H.265 (with GPU decode)
Original (uncompressed)
Format Processing Details:
- YUV422 8-bit: Standard automotive camera format with full color information
- RAW10/12/14: Unprocessed sensor data for ISP algorithm simulation validation
- H.264/H.265 Support: GPU-accelerated decoding for compressed data storage and transmission
- Format Conversion: Real-time conversion between formats during injection process
SerDes Compatibility
Serializer Support
Default: MAX9295A (3G/6G mode switching)
Compatible: MAX96717F, MAX96717
Custom Options: Available on request
Deserializer Support
Validated: MAX9296A, MAX96712
Extended: MAX96716, MAX96718, MAX96722
Adaptable: Custom deserializer support
Additional Features:
- POC Power Supply: Backend domain controller power-over-coax capability for authentic camera connection simulation
- I2C Communication: Complete sensor-ECU interaction simulation including register read/write operations
- Protocol Compliance: Full GMSL2 protocol implementation with proper handshaking and error handling
- Signal Integrity: Maintains authentic electrical characteristics and timing specifications
Multi-Card Scalability & Advanced Features
Scalable Architecture for Enterprise Testing
Multi-card support
Single workstation
Inter-card precision
Parallel testing
Multi-Card Configuration Capabilities:
- Dual-Card Setup: Support for 2 CIG4-8H cards in single industrial PC for 16-channel operation
- Extended Configurations: Up to 4+ cards for specialized high-channel-count applications
- Hardware Synchronization: Sub-microsecond synchronization between multiple cards
- Load Distribution: Intelligent channel allocation across available hardware resources
System Requirements and Integration
Host System Requirements
- Operating System: Ubuntu 18.04/20.04 LTS (other versions adaptable)
- PCIe Slot: PCIe Gen3 x8 or higher
- Memory: Minimum 16GB RAM (32GB recommended for multi-channel operation)
- Storage: High-speed SSD for video data buffering
- GPU: NVIDIA GPU recommended for H.264/H.265 decoding acceleration
Physical Specifications
- Form Factor: Standard PCIe card format
- Weight: 300g
- Power Consumption: 12V @ 1A typical
- Operating Temperature: -20°C to +70°C
- Storage Temperature: -40°C to +80°C
- Humidity: 5%-90% non-condensing (operating), 0%-95% (storage)
- MTBF: 5 years
Cable and Connectivity
- Coaxial Cable: Amphenol Min-fakra Dual MFK2252AW-001-TL30G-50
- Cable Length: Standard 250mm, custom lengths available
- Connector Type: Fakra automotive-grade connectors
- Signal Integrity: Maintains GMSL2 signal quality over extended distances
Software & Driver Support
Software Development Kit (SDK) and Secondary Development Support
Comprehensive Development Ecosystem
C/C++ Interface
Optimized Performance
System Setup
Complete Reference