Abstract | ||
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In this paper, an overview of methods that solve the robotsensor calibration problem of the forms AX = XB and AX = YB is given. Each form will be split into three solutions: separable closed-form solutions, simultaneous closed-form solutions, and iterative solutions. The advantages and disadvantages of each of the solutions in the case of evaluation of perception systems will also be discussed. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1145/2393091.2393095 | PerMIS |
Keywords | Field | DocType |
simultaneous closed-form solution,forms ax,iterative solution,perception system,separable closed-form solution,robot-sensor calibration method,robotsensor calibration problem,computer vision,evaluation | Computer vision,Robot calibration,Simulation,Computer science,Separable space,Ground truth,Artificial intelligence,Laser tracker,Robot,Perception,Calibration | Conference |
Citations | PageRank | References |
19 | 0.83 | 17 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mili Shah | 1 | 30 | 2.58 |
Roger D. Eastman | 2 | 59 | 8.86 |
Tsai Hong | 3 | 137 | 14.46 |