For a mobile robot, I can reduce the amount of data by using a coarser angular step, but that may make thin objects harder to detect. How do you balance angular resolution and scan frequency during model selection?
When should angular resolution take priority over scan frequency?
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2 ответов
Work backward from the smallest relevant object at the farthest required distance. Estimate how many adjacent samples should hit it, then check whether the resulting data rate and update interval fit the robot’s stopping and planning cycle.
I normally test two configurations using the same route and compare missed objects, CPU load and latency. The highest data density is not automatically best if processing delay becomes the larger source of risk.