# Sensor Fusion for Traffic Management A multi-modal reference implementation for traffic management, enabling partners to blend camera and radar/lidar sensor inputs to accurately monitor traffic conditions. ## Overview Metro AI Suite Sensor Fusion for Traffic Management is a reference implementation of an AI system integrated with sensor fusion technology. It utilizes multi-modal sensors such as cameras and radars/lidars to deliver traffic-management focused on performance, accuracy, and reliability superseding those of camera-only solutions. Cameras capture high-resolution visual data, while radar/lidar sensors precisely measure speed and distance, even under challenging conditions such as fog, rain, or darkness. This integration ensures a more robust and comprehensive approach to traffic monitoring and decision-making, enhancing overall system performance and safety. This sample features multiple pipelines tailored to specific sensor fusion use cases, combining cameras with either radar or lidar: - One camera paired with one mmWave radar (1C+1R), - Four cameras paired with four mmWave radars (4C+4R), - two cameras paired with one mmWave radar (2C+1R), - sixteen cameras paired with four mmWave radars (16C+4R). - Two cameras paired with one lidar (2C+1L), - Four cameras paired with two lidars (4C+2L), - Twelve cameras paired with two lidars (12C+2L), - Eight cameras paired with four lidars (8C+4L), - Twelve cameras paired with four lidars (12C+4L), ## Key Features Discover the key features that set our implementation apart and see how it meets the sensor fusion requirements of your intelligent traffic management solution. For a highly performant and cost-efficient solution, leverage the Intel-powered [Certified AI Systems](https://www.intel.com/content/www/us/en/developer/topic-technology/edge-5g/edge-solutions/hardware.html?f:guidetm392b07c604bd49caa5c78874bcb8e3af=%5BIntel%C2%AE%20Edge%20AI%20Box%5D). Whether you are developing a comprehensive traffic management system or showcasing your hardware platform's capabilities, this reference implementation serves as the perfect foundation. * Powerful and scalable CPU, built-in GPU (iGPU), dGPU configurations that deliver heterogeneous computing capabilities for sensor fusion-based AI inferencing. * Low power consumption package with a wide temperature range, compact fanless design, and enhanced vibration resistance. * Processors designed for industrial and embedded conditions, ensuring high system reliability. * Optimized software reference implementation based on open-source code to support performance evaluation, rapid prototyping, and quick time-to-market. * Rugged and compact PC design to withstand harsh in-vehicle environmental conditions. ## Benefits * **Enhanced AI Performance**: Achieve superior AI performance with our recommended optimization techniques, rigorously tested on industry-leading AI models and sensor fusion workloads. * **Accelerated Time to Market**: Speed up your development process by leveraging our pre-validated SDK and Intel-powered qualified AI Systems, ensuring a quicker path from concept to deployment. * **Cost Efficiency**: Lower your development costs with royalty-free developer tools and cost-effective hardware platforms, ideal for prototyping, development, and validation of edge AI traffic solutions. * **Simplified Development**: Reduce complexity with our best-known methods and streamlined approach, making it easier to build an intelligent traffic management system. :::{toctree} :hidden: get-started-guide.md prerequisites.md How it Works system-req.md Advanced user guide APIs.md FAQ.md release-notes.md :::