Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
We propose a method for fast estimation of reflection parameters of an object surface using only our optical reflection proximity sensor. The sensor values are the distance to a object surface, the tilt angle, and the reflected light intensity value, and the reflection parameters are searched by comparing them with a ray-tracing simulator values. Specifically, the input values of the simulator are the sensor values and reflection parameters of an object surface, which are optimized by TPE (Tree-structured Parzen Estimator) to minimize the error between the sensor values and the simulator values. This computational procedure has the advantage of being easy to implement since it does not require any other camera devices. However, it has the disadvantage of requiring more than 9 minutes of computation time. To overcome this disadvantage, we replace the entire search process with a suitable NN model. The TPE search takes 589 seconds, but can be accelerated to 3.1 ms by replacing it with the NN model.
