Multi-Sensor and Multi-Modal Place Localization
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: closed (10 March 2023) | Viewed by 4404
Special Issue Editors
Interests: computer vision; machine learning; robotics
Special Issue Information
Dear Colleagues,
Emergent technologies such as autonomous driving and augmented reality require reliable and accurate localization solutions. For this purpose, exteroceptive sensors (such as cameras, LiDAR, and RADAR) have demonstrated their effectiveness for relative and absolute pose estimation in a scene. Recently, visual localization techniques have greatly benefited from the rise of deep learning through novel approaches for image retrieval, pose regression, 3D registration, and deep keypoint matching. Despite this significant progress, many use-cases and challenges remain to be addressed, such as noise, illumination, and viewpoint invariance. Under these adverse conditions, long-term localization would significantly benefit from the use of multimodal sensors. However, computer vision solutions specifically designed for multisensory platforms remain poorly investigated. Furthermore, other applications, such as multi-agent localization, have so far attracted little attention despite considerable practical implications. In this context, we are pleased to invite researchers to present novel solutions targeting the limitations of the current visual localization strategies.
This Special Issue of Sensors aims to collect review articles and original research papers in the field of place localization with an emphasis on multisensory data. Potential topics include but are not limited to the following:
- Visual localization
- multisensor localization
- multimodal localization
- Hierarchical localization
- Geolocalization
- Pose estimation
- Keypoint matching
- Structure from Motion
- Simultaneous Localization and Mapping
- 3D registration
Prof. Dr. In So Kweon
Prof. Dr. Francois Rameau
Guest Editors
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