Stereo object detection with the applications to mobile robot
Robust and accurate object detection are needed for the applications to mobile robots. Unfortunately, most of the existing object detection approaches cannot satisfy with the real application due to either slow speed or lower accuracy. Computer Vision has been increasingly important in enabling s...
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| Main Author: | |
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| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/71092 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Robust and accurate object detection are needed for the applications to mobile robots.
Unfortunately, most of the existing object detection approaches cannot satisfy with the real
application due to either slow speed or lower accuracy. Computer Vision has been
increasingly important in enabling smart technologies. In this project, the author aims to
develop an object detection system which can provide high accuracy while reducing missing
detection by using stereo camera and state-of-the-art machine learning. Stereo vision is one of
the options that can be implemented in order to provide more data and parameters besides
visuals provided by a single camera. This will involve the use of the disparity map in order to
obtain depth information of the scene. By combining the use of depth information with a deep
learning framework, fast, robust and accurate stereo object detection can be achieved. |
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