Abstract
Many approaches to data fusion involve the use of least squares methods. Such methods are typically used for parameter estimation in applications such as pose estimation, motion analysis, shape estimation, and camera calibration. In this paper we describe the general least squares problem and some common solution methods, and overview its use in several robotic applications.
| Original language | English |
|---|---|
| Pages (from-to) | 566-573 |
| Number of pages | 8 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 1383 |
| Publication status | Published - 1991 Jan 1 |
| Externally published | Yes |
| Event | Sensor Fusion III: 3-D Perception and Recognition - Boston, MA, USA Duration: 1990 Nov 5 → 1990 Nov 8 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering