• Sensor Fusion for Traffic Management
  • Overview
    • Key Features of an Intel-powered AI System for Traffic Management
    • Benefits
  • How It Works
    • Demo for 1C+1R
    • Demo for 4C+4R
• Get Started Guide
  • 1. Overview
    • 1.1 Prerequisites
    • 1.2 Modules
      • 1.2.1 AI Inference Service
      • 1.2.2 Demo Application
  • 2. Install the Package and Build the Project
    • 2.1 Install the Download
    • 2.2 Install Dependencies and Build Project
  • 3. Download and Convert Dataset
  • 4. Run Sensor Fusion Application
    • 4.1 Resources Summary
    • 4.2 Start Service
    • 4.3 Run Entry Program
      • 4.3.1 1C+1R
      • 4.3.3 4C+4R
  • 5. Code Reference
  • Troubleshooting
  • Release Notes
• Advanced User Guide
  • 1. Introduction
    • 1.1 Prerequisites
    • 1.2 Modules
      • 1.2.1 AI Inference Service
      • 1.2.2 Demo Application
  • 2. Prerequisites
  • 3. Install the Package and Build the Project
    • 3.1 Install the package
    • 3.2 Install Dependencies and Build Project
  • 4. Download and Convert Dataset
  • 5. Run Sensor Fusion Application
    • 5.1 Resources Summary
    • 5.2 Start Service
    • 5.3 Run Entry Program
      • 5.3.1 1C+1R
    • 5.3.2 1C+1R Unit Tests
      • 5.3.2.1 Unit Test: Media Processing
      • 5.3.2.2 Unit Test: Radar Processing
      • 5.3.2.3 Unit Test: Fusion pipeline without display
      • 5.3.2.4 GPU VPLDecode test
      • 5.3.2.5 Media model inference visualization
      • 5.3.2.6 Radar pipeline with radar pcl as output
      • 5.3.2.7 Save radar pipeline tracking results
      • 5.3.2.8 Save radar pipeline pcl results
      • 5.3.2.9 Save radar pipeline clustering results
      • 5.3.2.10 Test radar pipeline performance
      • 5.3.2.11 Radar pcl results visualization
      • 5.3.2.12 Radar clustering results visualization
      • 5.3.2.13 Radar tracking results visualization
    • 5.3.3 4C+4R
    • 5.3.4 4C+4R Unit Tests
      • 5.3.4.1 Unit Test: Fusion Pipeline without display
      • 5.3.4.2 Unit Test: Fusion Pipeline with cross-stream without display
      • 5.3.4.3 Unit Test: Media Processing
    • 5.4 KPI test
      • 5.4.1 1C+1R
      • 5.4.2 4C+4R
    • 5.5 Stability test
      • 5.5.1 1C+1R stability test
      • 5.5.2 4C+4R stability test
  • 6. Code Reference
• How To Get RADDET Dataset
  • RADDet Dataset
    • Download
    • Dataset description
  • Generate left image and radar data, then convert to bin file as multi sensor input
• APIs
  • 1.0 RESTful API
    • 1.1 Overview
    • 1.2 Request
      • 1.2.1 pipelineConfig
      • 1.2.2 mediaUri
      • 1.2.3 An Example of Request
    • 1.3 Response
    • 1.4 Return Values
  • 2.0 gRPC API
    • 2.1 Overview
    • 2.2 Request
      • 2.2.1 Process Targets
    • 2.3 Response
      • 2.3.1 Response: message
        • 2.3.1.1 For process target: run
        • 2.3.1.2 For process target: load_pipeline
        • 2.3.1.3 For process target: unload_pipeline
  • 3.0 Status Code
  • 4.0 HVA Framework Pipeline Schema
    • 4.1 Pipeline Configure Schema
    • 4.2 Pipeline Configure Example
  • 5.0 libradar