Visibility of various road markings for machine vision

Multistage Vision System for Road Lane Markings and Obstacle Detection

This paper is to introduce a multistage vision system to detect relevant information for road driving. The system applies fuzzy theory in order to handle less information per image that classical methods use to do. The image processing is based on the fact that the image is splitted up into six horizontal bands and consists of three basic stages: local, regional and global analysis. Firstly, pa...

Machine Vision on FPGA for Recognition of Road Signs

Advances in retroreflective technologies for road signage, vehicle visibility and pavement markings, delivering safer roads for all

This paper provides an overview of recent advancements in road signage, vehicle visibility and pavement marking technology developed by 3M and how they can be applied to improve safer navigation on the road, especially for large vehicles and compromised situations.

A Massively Parallel Approach to Real-Time Vision-Based Road Markings Detection

This paper presents the vision-based road detection system currently operative onto the MOB-LAB land vehicle. Based on a full-custom low-cost massively parallel system, it achieves real-time performances (' 17 Hz) in the processing of image sequences, thanks to the extremely eecient implementation of the algorithm. Assuming a at road and the complete set of acquisition parameters to be known (c...

Robust lane markings detection and road

4 Detection of lane markings based on a camera sensor can be a 5 low cost solution to lane departure and curve over speed warning. A 6 number of methods and implementations have been reported in the 7 literature. However, reliable detection is still an issue due to cast 8 shadows, wearied and occluded markings, variable ambient lighting 9 conditions etc. We focus on increasing the reliability o...