Search Results for author:
Found 4 papers, 1 papers with code
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification
Hence, a novel approach that uses a semantic segmentation mask to provide Hu-moments-based segmentation categories' shape characterization, designated by Segmentation-based Hu-Moments Features (SHMFs), is proposed.
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition
Autonomous driving systems often require reliable loop closure detection to guarantee reduced localization drift.
Place recognition survey: An update on deep learning approaches
As part of the localization system, place recognition has benefited from recent developments in other perception tasks such as place categorization or object recognition, namely with the emergence of deep learning (DL) frameworks.
AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition
LiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
