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Driving has almost nothing to do with image classification. * Humans implicitly perform SLAM (simulataneous localization and mapping). What do I mean? Look aro
by argonaut 10y ago
Driving has almost nothing to do with image classification. *
Humans implicitly perform SLAM (simulataneous localization and mapping). What do I mean? Look around your room. Close your eyes. Visualize the room. As a human, you've built a rough 3D model of the room. And if you keep your eyes open and walk through the room, that map is pretty fine-grained/detailed too and humans can keep track of where they are in the map.
The state of the art in visual SLAM (visual SLAM = SLAM from just images, nothing else) is not deep learning. It's actually still linear-algebra/geometric/keyframe based traditional computer vision (including variants that incorporate GPS/accelerometer info). There are all sorts of limitations, but the biggest is the current algos don't work when the environment is moving (!!!).
SLAM from LIDAR is solved. That's why people use LIDAR.
You might argue, that perfect SLAM is overkill for driving. And I agree. Humans rely on being able to do lots of things that are "theoretically overkill" for any given task - and maybe that's exactly why, so far, humans can drive and computer can't.
* It bears noting that even in domains like image segmentation, humans still do better than neural nets. (Group pixels in an image into different categories - this is still a caricature of "vision," but still far more representative of real vision than simply giving a global label to an image).
- 2bitencryption 10y agoLet me make sure I get this: When a Tesla (or other non-LIDAR) vehicle is driving, it is not continuously building a 3D model of its environment. Instead, it is matching patterns on the road, and "understanding" based off what it sees in an otherwise flat image. Whereas LIDAR vehicles use the LIDAR technology to develop a map of the world around them, for additional understanding?
- unfamiliar 10y agoNo. They're both building a map and trying to place themselves in it. Using LIDAR makes this much easier to do.
- Animats 10y agoIt's not clear whether Tesla has a local map. They've never shown pictures of one, unlike Google. The Mobileye unit definitely does not; you can buy a Mobileye aftermarket unit and watch it put rectangles around things that look like cars and people. Tesla's radar probably just returns targets and range, like most first-generation automotive radars. Tesla's system may be entirely reactive. Google builds maps; they do path planning, so they have to.
- argonaut 10y agoIt's unclear if Tesla is building a 3D model or not. For the cameras, at least looking at Mobileeye's demos, it appears not. But Tesla also is using radar - it's unclear whether they're using the radar for just collision detection, or for building a full 3D map. LIDAR gives you a 3D map of the surroundings, yes.