Single-View Obstacle Detection for Smart Back-up Camera Systems
Abstract
This paper presents an implementation of a 3D reconstruction algorithm for the detection of static obstacles from a single rear view parking camera. To guarantee efficiency and accuracy of the solution, we adopted a feature-based approach in which interest points are tracked to estimate the vehicle's motion and multiview triangulation is performed to reconstruct the scene. A full implementation of the algorithm has been achieved on a parallel SIMD array processor unit embedded in a smart automotive camera system. Current in-vehicle beta trials suggest that system's performance meets industrial requirements for real-world use in back-up camera systems.
Cite
Text
Lalonde et al. "Single-View Obstacle Detection for Smart Back-up Camera Systems." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2012. doi:10.1109/CVPRW.2012.6238887Markdown
[Lalonde et al. "Single-View Obstacle Detection for Smart Back-up Camera Systems." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2012.](https://mlanthology.org/cvprw/2012/lalonde2012cvprw-singleview/) doi:10.1109/CVPRW.2012.6238887BibTeX
@inproceedings{lalonde2012cvprw-singleview,
title = {{Single-View Obstacle Detection for Smart Back-up Camera Systems}},
author = {Lalonde, Jeffrey and Laganière, Robert and Martel, Luc},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2012},
pages = {1-8},
doi = {10.1109/CVPRW.2012.6238887},
url = {https://mlanthology.org/cvprw/2012/lalonde2012cvprw-singleview/}
}