• Tue, May 5, 2026
• Mon, May 4, 2026
• Wed, May 6, 2026
• Thu, May 7, 2026
Core Technologies and Educational Foundations of Autonomous Systems
This overview explores autonomous systems, emphasizing sensor fusion, predictive algorithms, and the vital role of STEM integration.

Key Technical and Educational Highlights
- Sensor Fusion: The integration of LiDAR, radar, and cameras to overcome the limitations of any single sensing method.
- Real-Time Mapping: The use of high-definition (HD) maps combined with GPS and inertial measurement units (IMUs) for precise localization.
- Predictive Algorithms: The application of machine learning to forecast the movement of other road users.
- Actuation Systems: The conversion of digital decisions into physical movement via electronic control units (ECUs).
- STEM Integration: The necessity of interdisciplinary knowledge (coding, mathematics, and physics) to develop safe autonomous systems.
- Human-Machine Interface (HMI): The importance of how autonomous systems communicate their intentions to human pedestrians and drivers.
Read the Full Killeen Daily Herald Article at:
https://kdhnews.com/news/local/stem-expo-shares-the-science-behind-autonomous-vehicles/article_0fbc7dc4-a09d-49c8-ae9a-50ad6f2d792a.html
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