Artificial IntelligenceAutonomous

ANSYS and Edge Case Research Collaborate to Enhance Vehicle Safety

Today’s AVs rely on AI perception algorithms that are trained to make safety-critical driving decisions. Though highly advanced, an AV may fail to detect hazardous driving scenarios known as “edge cases” — because its algorithmic training has not prepared it for the many unusual road situations it will encounter in the real world.

To ensure the highest safety of an AV — and make fully autonomous vehicles a reality, developers need tools to automatically identify these challenging edge cases in a way that is far more scalable than manual data labeling.
In this line, ANSYS is collaborating with Edge Case Research to engineer the next generation of autonomous vehicles (AV) with state-of-the-art hazard detection capabilities.

Through a new OEM agreement, Edge Case Research integrates its AV artificial intelligence (AI) perception stress testing and risk analysis system, Hologram, within ANSYS’ AV simulation solution — delivering a solution to maximize the safety of AVs.

Through this collaboration, Edge Case Research’s autonomy safety assessment software, will integrate Hologram with ANSYS’ highly sophisticated AV open simulation solution. This capability analyzes AV algorithms to detect edge cases to advance the development of and help to validate perception algorithms in the most advanced AV systems.

Hologram can also be scaled to other industries such as aerospace and defense, mining, agriculture, industrial robotics, and any other domain that relies on AI-based vision and perception software.

Source: Press Release


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