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Direct Visual-Inertial Odometry and Mapping for Unmanned Vehicle
- Source :
- Advances in Visual Computing ISBN: 9783319508313, ISVC (2)
- Publication Year :
- 2016
- Publisher :
- Springer International Publishing, 2016.
-
Abstract
- We present a direct visual-inertial system that can track camera motions and map the environment. This method aligns input images directly based on the intensity of pixels and minimizes the photometric error, instead of using key features detected in the images. IMU measurements provide additional constraints to suppress the scale drift induced by the visual odometry. The depth information for each pixel can be computed either from the inverse depth estimation or from stereo images. Experiments using an existing dataset shows that the performance of our method is comparable to that of a latest reported method.
- Subjects :
- 0209 industrial biotechnology
Inertial frame of reference
Pixel
Computer science
business.industry
Track (disk drive)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
020901 industrial engineering & automation
Odometry
Inertial measurement unit
Computer Science::Computer Vision and Pattern Recognition
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Visual odometry
Scale (map)
business
Stereo camera
Subjects
Details
- ISBN :
- 978-3-319-50831-3
- ISBNs :
- 9783319508313
- Database :
- OpenAIRE
- Journal :
- Advances in Visual Computing ISBN: 9783319508313, ISVC (2)
- Accession number :
- edsair.doi...........59333317182087a6f2bbba083ed40495