At Rambus, we create cutting-edge semiconductor and IP products, spanning memory and interfaces to security, smart sensors and lighting.
MIPI CSI-2 Controller Core
The Rambus MIPI CSI-2 controller core is optimized for high performance, low power and small size. The core is fully compliant with the CSI-2 standard and implements all three layers defined therein: Pixel to Byte Packing, Low Level Protocol, and Lane Management. For automotive safety-critical applications, an ASIL-B version of the core is available and includes a Safety Manual, Design Failure Mode & Effects Analysis (DFMEA) and Failure Mode, Effects and Diagnostic Analysis (FMEDA).
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Product Brief
Security Certifications
MIPI® Sensor Solutions for Autonomous Driving
Sensors drive the algorithms that interpret the data enabling ADAS driving systems. High bandwidth global shutter cameras, and low-latency, low-power radar, lidar and sonar sensors’ streaming data leverage MIPI CSI-2® technologies to meet challenging design requirements. This session will discuss how highly configurable MIPI CSI-2 based PHY and Controller sub-system solutions can be tailored to address the needs of autonomous driving. Example customer use cases will illustrate the implementation of these MIPI CSI-2 solutions.
Solution Offerings
- Fully MIPI CSI-2 standard compliant
- 64 and 32-bit core widths
- Transmit and Receive versions
- Supports 1-8, 9.0+ Gbps D-PHY data lanes
- Supports 1-4, 6.0+ Gsym/s C-PHY lane (trio)
- Supports all data types
- Easy-to-use pixel-based interface
- Optional AXI interface (Rx only)
- Optional video interface
- Delivered fully integrated and verified with target MIPI PHY
- Complete FPGA-based demonstration system available
- Optional ASIL-B Ready safety deliverables
- Core (source code)
- Testbench (source code)
- Complete documentation
- Expert technical support
- Maintenance updates
Engineering Design Services:
- Customization
- SoC integration
Protocol Compatibility
| Protocol | Data Rate (Gbps) | Application |
|---|---|---|
| CSI-2 | 9.0+ | Mobile, IoT, Automotive |
