In this communication we present a new algorithm of lane detection and tracking. In the detection step, from the first frame of a video sequence, a linear-parabolic model is used to smooth the estimated trajectories, obtained by using the NNF approach. In the step of tracking, assuming a small change in the model, we use the HMM to update each parameter of the model. The results obtained are satisfactory.
|Translated title of the contribution||Lane boundary detection and tracking using NNF and HMM approaches|
|Title of host publication||IEEE Intelligent Vehicles Symposium 2007, Istanbul|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||1107 - 1111|
|Number of pages||5|
|Publication status||Published - 13 Jun 2007|