Sensor Fusion and Tracking for Autonomous Systems

This white paper demonstrates how you can use MATLAB® and Simulink® to:

1. Define scenarios and generate detections from sensors including radar, camera, lidar, and sonar

2. Develop algorithms for sensor fusion and localization

3. Compare state estimation filters, motion models, and multi-object trackers

4. Perform what-if analysis with different scenarios

5. Evaluate positional accuracy and track assignment performance versus ground truth

6. Generate C code for rapid prototyping

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  • With this workflow, you can avoid reinventing the wheel with every new autonomous system development project,
    saving you time and effort. In addition, you can share your models and results both within and outside your
  • In this white paper, Sensor Fusion and Tracking Toolbox™ and Automated Driving Toolbox™ are used in the associated
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White Paper: What’s New in MATLAB and Simulink for ADAS and AD

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