FidoFrame: A Customizable Surface Fiducial for Gradual Deformation Analysis in Sensor Evaluation
Description
The implementation of distance sensors in present technology has become common in order to receive information and feedback on the surrounding environment. LiDAR and 3D imaging technology is frequently used in automated vehicles, structural inspections, and topological scans. When selecting these distance sensors, the quantity and quality of the data collected is a priority for many of these uses. Currently, there is no standard to analyze the uncertainty and resolution of the LiDAR sensor’s data points. Every company and researcher use ad hoc methods to quantify the specifications of the sensor. Challenges presented in the current state of the art include inefficient ways to calculate gradual deformations and the reliance on proprietary specifications with no form of verification regarding its accuracy. Common difficulties in sensor evaluations include: (1) unreliable tests overlook small defects in surfaces and (2) the methods used are not readily available to confirm resolution of the data. This paper would create a “control variable” to analyze the quality of the data collected: a mockup capable of presenting varied fiducial geometric dimensions. This solution presents the FidoFrame for a detailed study of distance sensors to detect minor variation in geometric surfaces which can be translated to modern applications. The design files of the hardware explained in this paper are composed of parts and assemblies. These files are attached as Supplemental Materials. There are a total of 7 parts and 3 assemblies. The purpose of the CAD design is to organize the thought process behind the FidoFrame’s manufacturing and the needed materials. The design files allow for a knowledge of the object’s dimensions and size, how it will be built, and the manufacturing needs to construct the products.
Files
Institutions
- Florida International University