Synthetic LiDAR-Labeled Data Set Generation to Train Deep Neural Networks for Object Classification in IoT at the Edge
| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universidad Politécnica de Madrid |
| Repositorio: | Archivo Digital UPM |
| OAI Identifier: | oai:oa.upm.es:85895 |
| Acesso em linha: | https://oa.upm.es/85895/ |
| Access Level: | acceso abierto |
| Palavra-chave: | deep neural networks (DNNs) light detection and ranging (LiDAR) object classification simulated data set 3-D simulator 3D simulator Deep Neural Networks Laser Radar LiDAR Object Detection Point cloud compression Sensors simulated dataset Task analysis Three-dimensional displays Training |
| Descrição não disponível. |