Towards a benchmark for RGB-D SLAM evaluation
Overview & Synopsis
We provide a large dataset containing RGB-D image sequences and the ground-truth camera trajectories with the goal to establish a benchmark for the evaluation of visual SLAM systems. Our dataset contains the color and depth images of a Microsoft Kinect sensor and the ground-truth trajectory of camera poses. The data was recorded at full frame rate (30 Hz) and sensor resolution (640x480). The ground-truth trajectory was obtained from a high-accuracy motion-capture system with eight high-speed tracking cameras (100 Hz). Further, we provide the accelerometer data from the Kinect. Finally, we propose an evaluation criterion for measuring the quality of the estimated camera trajectory of visual SLAM systems.
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Document Information
| Document Title | Towards a benchmark for RGB-D SLAM evaluation |
|---|---|
| Author / Organization | Jürgen Sturm, Stéphane Magnenat, Nikolas Engelhard, François Pomerleau, Francis Colas, Daniel Cremers, Roland Siegwart, Wolfram Burgard |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2011 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-165666 |
| Original Source Link | Visit Source Page on hal.science » |