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. 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.

On this page

This Page