The thesis develops a driving assistant system that can locate the positions of the lane boundaries and detects the existence of the front-vehicle. It can also provide warning mechanism so as to avoid the danger as possible collides with previous vehicle. In lane recognition, we utilized the largest gradient of luminance value to detect possible road surface marking, then cooperated with the marking static and dynamic behavior of road surface characteristic to set up road surface marking and detect system. On the other hand, we considered vehicle detection leach the vehicle bottom shade characteristic from dynamic area threshold processing, and then judge and label where the vehicle exits. By the principle of the optics image formation, we estimated the relative distance from the previous vehicle. In this thesis, we proposed an easy and fast measure for previous vehicle of 96% correct rate in different environment. Running on typical 1.7Ghz processor system results up to 80 frames per second.

The aim of this diploma thesis is reconstruction design of Húskova Street in Brno, which is located in Černovice district. Static traffic, cycling and movement of pedestrians will be solved within reconstruction. The project was processed in four variant solutions. Variant A is emphasised on maximal number of parking space in draft form 45° angled parking driving ahead, variant B takes into account existing condition, the number of parking space and cycling, variant C leaves current status and adjustment consists of marking by horizontal road marking, in variant D is once again effort for maximal number of parking space, but with driving to the place by reversing. Evaluation of variants was done and variant B was chosen for detailed processing