What remains the biggest challenge/s to making autonomous cars road-ready?

Top Answer : The most unstable condition is when you get into dense urban scenes where there’s a lot of different actors and there’s inadequacies in terms of what your localization capabilities are, because a lot of systems to this point still rely on being able to co-register where they are to an existing map of the area. So there’s very few companies that can on day zero deploy autonomy into a new area.  So what that means is that in terms of expense, in general, you have to have an advanced team that will go out and map the area to some level of fidelity to enable autonomous operations.  In addition to that, you have to figure in map decay. So, in general, there’s going to be lots of places where, due to temporal changes, the map is going to look very different on various cadences that might be seasonal, that might be daily, whatever the case is, and how can you be robust to that?  So most companies are relying on maps to some extent. That makes life easier because you have this robust data structure but it does add a lot of complexities.

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The most unstable condition is when you get into dense urban scenes where there’s a lot of different actors and there’s inadequacies in terms of what your localization capabilities are, because a lot of systems to this point still rely on being able to co-register where they are to an existing map of the area. So there’s very few companies that can on day zero deploy autonomy into a new area.  So what that means is that in terms of expense, in general, you have to have an advanced team that will go out and map the area to some level of fidelity to enable autonomous operations.  In addition to that, you have to figure in map decay. So, in general, there’s going to be lots of places where, due to temporal changes, the map is going to look very different on various cadences that might be seasonal, that might be daily, whatever the case is, and how can you be robust to that?  So most companies are relying on maps to some extent. That makes life easier because you have this robust data structure but it does add a lot of complexities.
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