Abstract
We propose a multi-level fusion scheme for target detection using camera and radar sensors. For the proposed scheme, the radar sensor provides the target track information of the range, velocity, angle, and track ID. This data is applied during the vision processing step as the ROI (region of interest) where the target may exist. Next, for feature-level fusion, the Doppler spectrum of the ROI is provided to the sensor-fusion-based target classifier. In the classifier, we then determine the class of the target using an image database and a Doppler pattern database. In the experimental results, we verify the proposed processing scheme using a 24 GHz FMCW transceiver with a single antenna.
| Original language | English |
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| Title of host publication | Proceedings of the 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2017 |
| Editors | Hamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti |
| Publisher | CSREA Press |
| Pages | 111-114 |
| Number of pages | 4 |
| ISBN (Electronic) | 1601324642, 9781601324641 |
| State | Published - 2017 |
| Event | 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2017 - Las Vegas, United States Duration: 17 Jul 2017 → 20 Jul 2017 |
Publication series
| Name | Proceedings of the 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2017 |
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Conference
| Conference | 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2017 |
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| Country/Territory | United States |
| City | Las Vegas |
| Period | 17/07/17 → 20/07/17 |
Bibliographical note
Publisher Copyright:CSREA Press ©
Keywords
- Automotive radar
- Radar sensor
- Sensor fusion