Videos have been released on some real-world tests of robocars. The most notable is from Mercedes.
As a nice reflection on the past, Mercedes drove the 100km route done by Bertha Benz in the first automotive road trip 125 years ago. You will also find that this alternate video is much better at talking about the technical details of the vehicle.
The Vislab team from Parma also released video of their drive around town. As the name suggests, Vislab’s research has a focus on computer vision, though this test vehicle also has 3 small LIDARs.
The Mercedes video has a lot of statements from MB engineer Ralf Herrtwich about their goals in doing this using existing sensors (cameras and radar primarily) and not (though he does not name it) LIDAR which he says is years or decades away. While I don’t want to criticise the accomplishments of his team, nor in any way deny that everybody would love to be able to make a safe driving system using the most cost-effective sensors, his philosophy seems backwards to me.
First, those of us used to Moore’s law think that planning to use hardware that is expensive today but which will come down greatly in price by the time things are commercialized is the obviously right strategy. It seems backwards to limit yourself to the technologies of today in planning a product for the future just because they are cheaper today. To use the metaphor of a great Canadian athlete, you skate to where the puck is going to be.
This is magnified by the fact that the problems of robocars are safety problems, not problems of cost or ones of appearance. With safety as the dominant goal, it seems very odd to me to imagine that one would, in the first vehicles to be made, avoid using a sensor that could improve safety and performance markedly just because of cost or appearance. If the cost difference were forecast to be ridiculous, one could consider it, but it makes no sense if the cost is within the noise to early adopters. That’s why Tesla is able to succeed with such an expensive car — the early adopters are more interested in a cool, high-performance electric car than they are in the cost. The other argument that is made — that the established sensors are more tested and robust — has some merit but is surely a short term optimization.
It could be argued that attempting to build a vehicle without LIDAR is skating to where the puck is going to be in the next game. After all, there is optimism that vision and radar will be enough for safe driving some day. As we all know, humans can drive with simple vision — even with one eye closed — and no radar or other sensors aside from hearing. So some day, cameras and a lot of processing probably can safely drive a car, and do it with low cost hardware. But the first production robocar? Deliberately not having lasers when it’s such a challenge to meet the safety goals? It seems very unlikely.
The notes on appearance are also odd to me. (It is commonly noted that research sensors like the Velodyne are big and make the car look unusual and not like a car.) We even see the IEEE Spectrum keen on how the new CMU car does not look like a robot) unlike BOSS from the urban challenge. While the research vehicles like BOSS were over-the-top on top, I think the reaction of early adopters is going to be quite the opposite. They will want their shiny new robocar to look distinctive and clearly different from regular cars. Prius owners reacted the same way, and there was not even much need for the Prius to have such a distinctive shape, though being more like a raindrop never hurts.
I suspect this approach is in part inspired by a marketing goal. The auto companies, not wanting to appear to be trailing Google on robocar research, are making extra effort to appear to be on a different course, and in fact ahead of Google and the rest on that path. “We’re doing what the competition is doing, but we’re not as far along” is not a very good press release. That’s OK if it were just for appearances — and I’m in favour of there being many competing approaches because any paradigm, including mine, can turn out to be wrong — but I hope that these teams really expect their approach is the best and fastest path to a safe and capable vehicle.
Here, by the way, are more details of the 33 mile trip by the GM/CMU collaboration. This vehicle has an “automotive grade” LIDAR — meaning one of the smaller ones that is one to four planes, not the giant 64 plane Velodyne used by CMU’s BOSS, Google and many others.