By Ansys Advantage Staff
For a deployed autonomous vehicle (AV), there can be no surprises. Along the road or in the air, the vehicle’s perception system must “make sense” of each object it “sees.” For this to happen, its software models must be properly trained. Without this training, it will fail to detect or correctly classify objects it hasn’t seen before.
As an example, consider the case of a person in a costume crossing the street:
A human driver, although surprised, will immediately recognize the person in costume and respond accordingly. In contrast, a perception system may fail to make this critical leap in logic or, worse, fail to detect an object at all. To ensure safe operation, developers must not only train the vehicle’s AI-based perception algorithm, but also ensure that it has learned what it needs to know.