Efficient Lane Tracking by Navigation, Positioning Filter Algorithm
نویسنده
چکیده
In this research paper, we introduce Lane Tracking by Using navigation,positioning and tracking filter i.e dealing to make the hybrid of two filter.This two filters are “Kalman filter and Particle filter”. Presented approach gives us idea about perfect and efficient and clear view tracking. Model is designed to make a tracking near real time. This idea further introduces the lane detection which is a essential part of tracking by using Hough Transform to get efficient and ideal model. Measurement of improvement in lane tracking have been increased and measured extensively by the hybrid model. Model is developed on matlab. The designed tracking model was tested on various weather conditions during different time. This tracking model is developed for the assistance of driver in rainy ,sunlight,night and foggy condition. This model is helpful and gives near real situation of road by tracking using hybrid of kalman and particle filter algorithm. They help in providing clarity to complex shadowing and lighting changes. Use of digitised camera on dashboard or bonet of vehicle and use of warning system is also done in this model in order to warn driver about the bad situation of road for their safety. This model overcomes all the problem that occurred in previous tracking system in different time and weather conditions. Index Terms – Computer Vision,Lane Tracking,Driver Assistance,Matlab/simulink,Intelligent Vehicle,Navigation filters.
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