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> Night-time driving, bad weather, icy roads, bumper-to-bumper traffic: these are all situations in which some algorithms can outdo humans in terms of safety. F
by glitchc 5y ago
> Night-time driving, bad weather, icy roads, bumper-to-bumper traffic: these are all situations in which some algorithms can outdo humans in terms of safety. Faster reactions, better vision (beyond what human eyes can see), and unlimited 'mental stamina' can make a big difference in safe driving.
To be clear we are talking about CV which relies on passive optical sensing in the visual spectrum through cameras, not radar or lidar or IR or multi-spectral sensors.
Within this context, your statement is incorrect. A typical camera’s dynamic range is orders of magnitude lower than the human visual dynamic range. Ergo a camera sees a lot less at night compared to a human and what it does see is a lot more noisy. Note that this is the input to the detection, tracking and classification stages, the ouput of which feeds into the control loop(s). It doesn’t matter how good the control system is, it cannot avoid what the vision system cannot see.
- astrange 5y ago> To be clear we are talking about CV which relies on passive optical sensing in the visual spectrum through cameras, not radar or lidar or IR or multi-spectral sensors. Well, I think you mean working off RGB data? That's not necessarily the problem you have to solve even if your parts are regular cameras, as long as they're dedicated to your uses. You can modify them to see IR or polarization.