MOST Networking Approach for Video-Camera Systems in ADAS. Dr. Bernd Sostawa, Senior Manager of Business Development, Microchip Technology Inc.
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1 MOST Networking Approach for Video-Camera Systems in ADAS Dr. Bernd Sostawa, Senior Manager of Business Development, Microchip Technology Inc.
2 Evolution of E/E Architecture Driver assistance will become an integral part of the E/E ecosystem Driver assistance and infotainment systems are expected to grow together
3 Video-Camera System Example: Top-View System Camera ECU
4 Data Interface Requirements Power Camera Digital video stream with high definition and high dynamic range communication Power Camera ECU 4 x 4 x Camera ECU Multiple digital video streams with high definition and high dynamic range Multiple control communication Other data (e.g. from CAN) + power Other Data + Power
5 Multi-Channel Approach of MOST Technology Supports parallel usage of control data and streaming data through one network Also, packet data can be used in parallel; for e.g., object lists from radar sensors Optimal solution to attach a camera with a single network link E.g. Object Lists MOST150 Frame Channel Streaming Channel (synchronous, isochronous) Packet Channel (asynchronous packet, IP data)
6 Camera Design Lean camera node contains Megapixel image sensor with high dynamic range H.264 video encoder with ultra-low latency MOST150 network interface Coaxial transceiver H.264 has better coding efficiency than Motion JPEG Better picture quality at the same bit rate Lower bit rate for the same picture quality Camera GPIO I 2 C MOST I/F H.264 Video data MOST150
7 Remote- Feature Remotely control image sensor and other on-board slave devices through control channel of MOST Network Remotely manage I 2 C reads/writes and GPIOs No local control software stack in camera needed Use existing processing power in the Camera ECU to run the controlling software for all cameras Camera GPIO I 2 C MOST I/F H.264 Video data MOST150 Camera ECU Cam Software
8 System Architecture Cameras GPIO I 2 C MOST I/F MOST150 Network Camera ECU 4/8 Ports MLB/PCIe Video Dec Cam Top View Multi-Port FPGA / SoC Star topology by use of Multi-Port MOST I/F Full duplex One MOST150 network
9 Central Camera Cameras GPIO I 2 C MOST I/F Remote Remote Remote Remote Camera ECU 4/8 Ports Multi-Port Remote Make use of Remote Feature Centralized camera control Video Dec Cam Top View FPGA / SoC Just one software instance needs to be deployed and maintained
10 Bandwidth Considerations Cameras Up to 150 Mbps GPIO I 2 C MOST I/F Up to 150 Mbps Up to 8 links Video streams Up to 150 Mbps Up to 150 Mbps Camera ECU 4/8 Ports Multi-Port Up to 8 x150 Mbps 1.2 Gbps Video Dec Cam Top View FPGA / SoC Full MOST150 streaming bandwidth can be independently used for each camera link Up to 1.2 Gbps total streaming bandwidth
11 Coaxial Cabling Automotive-proven coax cables and connectors (e.g., FAKRA) Good for side mirrors Also for the harsh environment of the car Bidirectional communication (full duplex) and power supply across the same cable Sheath Shield Isolator Inner Wire Coax cable: Fully symmetric cable for wellcontrolled impedance; one inner wire and shield as second wire simple connector assembly (automated)
12 Conclusion Multi-channel network approach, video and packet data in parallel over the same network link Remote feature Centralized camera control Flexible architecture Star and ring topologies Streaming nature of MOST Technology Real-time streaming with ultra-low latency and highest quality of service Up to 150 Mbit/s can be allocated for each camera s stream Routing of up to 1.2 Gbps of video data into the central microprocessor Automotive-proven coaxial cables and connectors Full duplex and power across the same cable MOST Technology network provides an optimal solution for videocamera systems Note: MOST is a registered trademark of Microchip Technology Inc. in the USA and other countries. All other trademarks mentioned herein are the property of their respective companies.
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