Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition
Abstract Visual Place Recognition is a challenging task for robotics and autonomous
systems, which must deal with the twin problems of appearance and viewpoint change in an …
systems, which must deal with the twin problems of appearance and viewpoint change in an …
Scan context++: Structural place recognition robust to rotation and lateral variations in urban environments
Place recognition is a key module in robotic navigation. The existing line of studies mostly
focuses on visual place recognition to recognize previously visited places solely based on …
focuses on visual place recognition to recognize previously visited places solely based on …
Seqnet: Learning descriptors for sequence-based hierarchical place recognition
Visual Place Recognition (VPR) is the task of matching current visual imagery from a camera
to images stored in a reference map of the environment. While initial VPR systems used …
to images stored in a reference map of the environment. While initial VPR systems used …
Place recognition survey: An update on deep learning approaches
Autonomous Vehicles (AV) are becoming more capable of navigating in complex
environments with dynamic and changing conditions. A key component that enables these …
environments with dynamic and changing conditions. A key component that enables these …
A survey on global lidar localization: Challenges, advances and open problems
Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …
estimation is part of the core functionalities of mobile robots. Over the last two decades …
[PDF][PDF] A survey on global lidar localization
Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. In the last two decades, LiDAR …
estimation is part of the core functionalities of mobile robots. In the last two decades, LiDAR …
General place recognition survey: Towards the real-world autonomy age
Place recognition is the fundamental module that can assist Simultaneous Localization and
Mapping (SLAM) in loop-closure detection and re-localization for long-term navigation. The …
Mapping (SLAM) in loop-closure detection and re-localization for long-term navigation. The …
Adafusion: Visual-lidar fusion with adaptive weights for place recognition
Recent years have witnessed the increasing application of place recognition in various
environments, such as city roads, large buildings, and a mix of indoor and outdoor places …
environments, such as city roads, large buildings, and a mix of indoor and outdoor places …
Minkloc++: lidar and monocular image fusion for place recognition
J Komorowski, M Wysoczańska… - 2021 International Joint …, 2021 - ieeexplore.ieee.org
We introduce a discriminative multimodal descriptor based on a pair of sensor readings: a
point cloud from a LiDAR and an image from an RGB camera. Our descriptor, named …
point cloud from a LiDAR and an image from an RGB camera. Our descriptor, named …
C2l-pr: Cross-modal camera-to-lidar place recognition via modality alignment and orientation voting
Place recognition is a fundamental technology for vehicle localization. LiDAR-based
methods could work under visual appearance-changing conditions, such as season or …
methods could work under visual appearance-changing conditions, such as season or …