Name: LUCAS LUPPI AMORIM
Type: MSc dissertation
Publication date: 12/03/2020
Advisor:
Name |
Role |
|---|---|
| THIAGO OLIVEIRA DOS SANTOS | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| CLAUDINE SANTOS BADUE | Internal Examiner * |
| THIAGO OLIVEIRA DOS SANTOS | Advisor * |
Summary: In this work, an automated system for estimating the volume of load in moving trucks using a pair of multi-layer light detection and ranging (LiDAR) sensors is presented. The sensors are mounted in a structure so that trucks can pass through without stopping. The proposed system can be used with any type of compact load such as grains, and powders. A simple, efficient, and effective heuristic is proposed for tracking the truck's positions, and a mesh of the load is built and used for estimating the volume. The system was deployed and evaluated in a mining company in real conditions of operation. Experimental results indicate that the system produces accurate estimates of the volume of ore powder transported by trucks, achieving a mean absolute error of 3.46% of the real weight of the load. The reconstruction of the loads and the estimative of their volumes are performed once the data is acquired and take 40 seconds on average.
