| Title |
Research on LiDAR-based Object Recognition and Sensor Fusion |
| Authors |
변예림(Yerim Byeon) ; 박만복(Manbok Park) |
| DOI |
https://doi.org/10.5573/ieie.2021.58.5.104 |
| Keywords |
LiDAR; Clustering; Sensor Fusion; Association; GNN(Global Nearest Neighbor) |
| Abstract |
The process of recognizing objects through clustering, tracking, and predicting the raw data of Lidar is implemented in this paper. The results on the Lidar signal processing and the coordinates of the camera and radar are fused, and campared with the existing convergence method. Lidar, radar, and camera were fused to object level. The accuracy of proposed variable gating method applied sensor fusion algorithm was about 97.85%. Which was improved by about 3.97% |