Engineers on Aurora’s Autonomy team, for example, generally run thousands of short simulations to evaluate whether a code change or new model should be implemented. In other words, we need to be able to see what the Aurora Driver sees-is it picking up those construction cones, is it registering that speed change sign, does it notice that motorcycle coming from behind? What’s more, we need to be able to see how and why the Aurora Driver sees what it sees-are some of the cones obstructed and not perceptible, is the sign confusing or illegible, is the motorcycle still recognizable when it suddenly does a wheelie?Īccess to all of this information allows our operations teams to quickly spot and diagnose issues that appear while our vehicles are out testing it allows our simulation teams to reliably test our technology offline at scale and it allows our engineering teams to understand how the code they write affects the way our vehicles perform out in the real world. To build autonomous trucking and ride-hailing products, we need to understand what the autonomy system is experiencing. ![]() How we built a new tool that lets autonomy engineers move 10x faster By Nathan Falk, Marion Le Borgne, Peter Bentley, Brian Becker.
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