Tracks camera pose from a single image stream on the KITTI, Malaga and Parking datasets, with optional local bundle adjustment, SIFT-based loop closure with Sim (3) pose-graph optimization, and ground ...
Abstract: Following the relative maturity of single-robot Simultaneous Localization And Mapping (SLAM) techniques, works addressing collaborative SLAM have started emerging lately. Driven by the need ...
Dr-PoGO is a radar-based SLAM framework. It combines Direct Radar Odometry (DRO) with RaPlace loop-closure detection and a pose-graph optimizer to produce globally consistent trajectories from FMCW ...
Crypto projects spent years chasing users with token incentives, apps and speculation. Now, some of the industry's biggest pitches are starting to sound more like enterprise software sales. That was ...
Your browser does not support the audio element. Most image files are exactly what they appear to be. A PNG, if treated with sufficient disrespect, can become ...
Robotic automation is a key technology that increases the efficiency and flexibility of manufacturing processes. However, one of the challenges in deploying robots in novel environments is finding the ...
ABSTRACT: To address the limitations of traditional multi-camera-IMU state estimation systems—namely, insufficient localization accuracy in complex environments and poor robustness under abnormal IMU ...
Factor graph optimization serves as a fundamental framework for robotic perception, enabling applications such as pose estimation, simultaneous localization and mapping (SLAM), structure-from-motion ...
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