3 papers
cs.RO2026
TurboMap: GPU-Accelerated Local Mapping for Visual SLAM
Parsa Hosseininejad, Kimia Khabiri, Shishir Gopinath +3
In real-time Visual SLAM systems, local mapping must operate under strict latency constraints, as delays degrade map quality and increase the risk of tracking failure. GPU parallel…
cs.RO2026
FastTrack: GPU-Accelerated Tracking for Visual SLAM
Kimia Khabiri, Parsa Hosseininejad, Shishir Gopinath +2
The tracking module of a visual-inertial SLAM system processes incoming image frames and IMU data to estimate the position of the frame in relation to the map. It is important for…
cs.RO2026
FastLoop: Parallel Loop Closing with GPU-Acceleration in Visual SLAM
Soudabeh Mohammadhashemi, Shishir Gopinath, Kimia Khabiri +3
Visual SLAM systems combine visual tracking with global loop closure to maintain a consistent map and accurate localization. Loop closure is a computationally expensive process as…