RTISSLAM: In-air Imaging Sonar SLAM using a Robust Pose Grap
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: RTISSLAM: In-air Imaging Sonar SLAM using a Robust Pose Graph and Occupancy Grid Mapping. This research presents RTISSL, a new sonar-only SLAM system that integrates a robust pose graph with occupancy grid mapping to improve navigation in environments with specular reflections. The system uses energy landscap…
Generated from attributed reports · Updated 2 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Environment: simulation
“red metrically, and the grid is stored per keyframe and anchored to the pose-graph nodes, so that it follows every loop closure. In simulated worlds with specular walls, RTISSLAM reduces the trajectory error of the wheel odometry from \SI{8.2}{\meter} to \SI{0.31}{\meter} in an office, while lidar-style grid SLAM on the same sonar data fails.”
Exact source · revision 1Source owner not reported
Reported quantity · trajectory error: 8.2 other · Basis not reported · Differing source assertions
“red metrically, and the grid is stored per keyframe and anchored to the pose-graph nodes, so that it follows every loop closure. In simulated worlds with specular walls, RTISSLAM reduces the trajectory error of the wheel odometry from \SI{8.2}{\meter} to \SI{0.31}{\meter} in an office, while lidar-style grid SLAM on the same sonar data fails.”
Exact source · revision 1Source owner not reported
Reported quantity · trajectory error: 0.31 other · Basis not reported · Differing source assertions
“red metrically, and the grid is stored per keyframe and anchored to the pose-graph nodes, so that it follows every loop closure. In simulated worlds with specular walls, RTISSLAM reduces the trajectory error of the wheel odometry from \SI{8.2}{\meter} to \SI{0.31}{\meter} in an office, while lidar-style grid SLAM on the same sonar data fails.”
Exact source · revision 1Source owner not reported
Report timeline
Follow attributed reports and material updates.
- arXiv Robotics — research abstractsRTISSLAM: In-air Imaging Sonar SLAM using a Robust Pose Graph and Occupancy Grid Mapping
This research presents RTISSL, a new sonar-only SLAM system that integrates a robust pose graph with occupancy grid mapping to improve navigation in environments with specular reflections. The system uses energy landscapes from beamforming and CFAR for place descriptors, and achieves a significant reduction in trajectory error compared to traditional methods.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).