Paper
13 April 1993 Landmark-based navigation: model extension and refinement
Harpreet S. Sawhney, Rakesh Kumar, Allen R. Hanson, Edward M. Riseman
Author Affiliations +
Abstract
Least-squares and robust methods were presented for determining the location and orientation of a mobile robot from visual measurements of modeled 3-D landmarks. However, building the 3-D landmark models is a time consuming and tedious process. For landmark-based navigation methods to be widely applicable, automatic methods have to be developed to build new 3-D models and enhance the existing models. Ideally, a robot would continuously build and update its world model as it explores the environment. This paper presents techniques to determine the 3-D location of image features from a sequence of monocular 2-D images captured by a camera mounted on the robot. The approach adopted here is to first build a partial model (possibly noisy) either manually, by stereo, or by tracking and reconstructing shallow structures over a sequence of images using the constraint of affine trackability. This model is subsequently used to compute the pose that relates the model coordinate system and the camera coordinate system of the image frames in the sequence. The unmodeled 3-D features (those not already in the model) are tracked over the image sequence and their 3-D locations recovered by a pseudo-triangulation process, a form of `induced stereo.' The triangulation process is also used to make new 3-D measurements of the initial model points. These measurements are then fused with the previous estimates to refine the set of initial model points.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harpreet S. Sawhney, Rakesh Kumar, Allen R. Hanson, and Edward M. Riseman "Landmark-based navigation: model extension and refinement", Proc. SPIE 1838, 21st AIPR Workshop on Interdisciplinary Computer Vision: An Exploration of Diverse Applications, (13 April 1993); https://doi.org/10.1117/12.142785
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Cited by 3 scholarly publications.
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KEYWORDS
3D modeling

3D metrology

3D image processing

Motion models

Visual process modeling

Cameras

Process modeling

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