How It Works#

This reference implementation enables the development of a high-performance, Intel-based® Intelligent Traffic Solution. The end-to-end pipeline of this software reference implementation includes the following major workloads, as shown in the following figure:

  • Dataset loading and data format conversion

  • Lidar signal processing

  • Video analytics

  • Data fusion

  • Visualization

Each pipeline is deployed on a single Intel® SoC processor, providing the necessary heterogeneous compute capabilities from Intel Core™ processors and integrated GPU. The implementation includes video analytics optimized by the Intel® Distribution of OpenVINO™ Toolkit, radar/lidar signal processing accelerated by Intel® oneAPI, data fusion, and visualization. Key performance indicators, such as throughput and processing latency, significantly surpass current market standards. To maximize performance on Intel® processors, we optimized this SW RI using Intel software toolkits and open-source libraries.

Case-C+L

Use case: C+L Pipeline

Following are the four demo configurations. Please refer to the Get Started Guide for more instructions on deploying services on bare metal.

Demo for 2C+1L#

Demo-2C1L

Use case #1: 2C+1L running on Intel® Core™ Ultra 7 265H

Demo for 4C+2L#

Demo-4C2L

Use case #2: 4C+2L running on Intel® Core™ Ultra 7 265H

Demo for 12C+2L#

Demo-12C2L

Use case #3: 12C+2L running on Intel® Core™ i7-13700 and Intel® B580 Graphics

Demo for 8C+4L#

Demo-8C4L

Use case #4: 8C+4L running on Intel® Core™ i7-13700 and Intel® B580 Graphics

Demo for 12C+4L#

Demo-12C4L

Use case #5: 12C+4L running on Intel® Core™ i7-13700 and Intel® B580 Graphics