This paper presents an implementation of a novel lane edge feature extraction algorithm based on digital interpolation. The method is based on the observation that by zooming towards the vanishing point, the positions and the sizes of the lanes will not change significantly while other objects will. Comparing the zoomed image with the original image allows us to remove most of the unwanted features from the lane feature map. The proposed algorithm shows outstanding performance on extracting features belonging solely to the lanes embedded in severe noise environment. The algorithm runs in real-time on the TMS320DM6437 DSP platform from Texas Instruments. The system implemented can achieve at least 23 fps, without performing any code optimisation but only considering memory management.
|Translated title of the contribution||A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform|
|Title of host publication||16th International Conference on Digital Signal Processing, 2009, Santorini, Greece|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||1 - 6|
|Number of pages||6|
|Publication status||Published - Jul 2009|
|Event||16th International Conference on Digital Signal Processing - Santorini, Greece|
Duration: 1 Jul 2009 → …
|Conference||16th International Conference on Digital Signal Processing|
|Period||1/07/09 → …|
Bibliographical noteRose publication type: Conference contribution
Sponsorship: A. Achim was supported in part by the European Science Foundation through the COST Action TU0702
Digital Signal Processing, 2009.
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- lane detection
- feature extraction
- DSP implementation
- digital interpolation