Virtual LiDAR simulator is a gamified tool developed at Michigan State University (MSU). The tool generates filtered and segmented synthetic LiDAR data of virtual cars that are able to be identified by Deep Learning models that are trained using real point clouds.
Made with:
Publications:
1) Karur*, G. Pappas*, J. Siegel, M. Zhang “End-to-End Synthetic LiDAR Point Cloud Data Generation and Deep Learning Validation”, SAE World Congress 2022
*These authors contributed equally
Collaboration:
Awards:
“Thomaidion” Award 2022 (NTUA)
for the publication “End-to-End Synthetic LiDAR Point Cloud Data Generation and Deep Learning Validation”