Rationale:
As mobile robots become more ubiquitous, their deployments grow across industrial use cases and application areas where GNSS positioning is either unavailable or unreliable. This is not limited to robots, but also other wireless sensor networks and systems in the IoT domain. In addition to methods based on onboard sensors (e.g., camera-based visual odometry and lidar odometry, both leading to simultaneous localization and mapping – SLAM – methods), multiple research efforts over the last decade have been directed towards radio-based localization (e.g., Wi-Fi, Bluetooth) and particularly ultra-wideband (UWB) solutions providing centimeter-level accuracy. These methods, through fusion with inertial and other sensors, also allow for relative localization between nodes as well as cooperative positioning approaches.
Topics:
The following list of topics fall under the scope of this special section, but submissions are not limited to these areas:
– UWB-based localization
– Radio-based localization
– Visual/lidar odometry methods
– Relative localization
– Multi-sensor fusion for relative state estimation
– New datasets for GNSS-denied localization
– Fusion of GNSS and radio-based localization
– Onboard and relative localization for GNSS spoofing resilience
– Collaborative localization in multi-robot systems
Organizers:
– Jorge Peña Queralta, University of Turku, Finland
– Tomi Westerlund, University of Turku, Finland
– Michael Baddeley, Technology Innovation Institute, UAE
– Zhuo Zou, Fudan University, China
– Laura Ruotsalainen, University of Helsinki, Finland