This research article discusses the development of an unsupervised object detection system using LiDAR point clouds. The authors, Zhang et al., present their findings on the use of a deep learning model to detect and classify objects in real-world environments without the need for manual labeling. The study demonstrates the potential of unsupervised learning in the realm of LiDAR-based object detection systems and highlights the advantages of this approach in terms of cost and time efficiency. Overall, their work provides a promising avenue for future research in this field.
https://waabi.ai/oyster/