By using a panoramic surround-view system that stitches videos and overlays images during driving, it assists the driver in understanding the environment of the vehicle and other objects such as pedestrians and vehicles, to achieve safe and precise driving.
R-Car V3H2 SoC significantly enhances the deep learning performance of smart cameras, reaching Level 2+ capabilities, suitable for driver and passenger monitoring systems (DMS/OMS), automotive front cameras, surround view, and automatic parking. This SoC combines real-time sensor fusion at ASIL C level and an optimized architecture for intelligent machine vision, providing OEMs and Tier 1 with high-performance, low-power solutions.
Surround View Monitor System
SVM Board
Renesas R-Car V3H2 Processor
Feature
SVM system
- Multi camera inputs: Front/Rear/Left/Right camera input
- Sensor fusion
- ISP tuning for image quality adjustment
- IMR function for image stitching
- Powerful IMP (Computer Vision) implement for image recognition
Safety
- Supporting metric targets for ASIL B (sensor layer, application processors) and ASIL C (real-time domain) safety goals
Product Specification
| CPU/Memory |
Four 1.0GHz Arm® Cortex®-A53 MPCore™ cores Dual lockstep 800MHz Arm® Cortex®-R7 core Dual image signal processor (ISP) 1GB LPDDR4 32GB eMMC |
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|---|---|---|---|---|
| OS | Linux | |||
| I/O Ports |
GMSL video out x1 Gigabit Ethernet(1000Base T) x1 Camera interface(Fakra) x4 CAN x1 Micro USB x1 |
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| System Feature |
Integrated ISP with up to 8 Mpixel sensors, RGB-IR supported Image recognition engine (IMP-X5-V3H) Dedicated hardware accelerator for CNN |
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| Power Source | Input :DC 13V 2.5A | |||
| Mechanical | PCBA Dimensions: 170mm x 120mm (W x H) | |||