Road Lane Line Detection in Smart Cities using Image Processing TechniqueFinny, TabithaGeorge, SnehaJebaseeli, T JemimaGrenze International Journal of Engineering & Technology (GIJET)
Hough transform line detection. Dataset Detecting lane lines in the road is an important feature extraction step used for subsequent tasks in an autonomous vehicle such as pose estimation, navigation and guidance. The vision systems on an autonomous vehicle is a primary candidate to detect such road...
The invention discloses a linear array image sensor based following vehicle road lane line detection device, which comprises linear array image sensors which are arranged at both sides of a vehicle are used for detecting a road lane line, a data processing circuit for processing and converting ...
Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspective Transform, Color Masks, Sobels and Polynomial Fit. - OanaGaskey/Advanced-Lane-Detection
Multi-lane roads White lines separate traffic moving in the same direction. The Yellow Road Line Should Always Be To Your Left This is a generalization of course. But it’s true, that unless you are passing, orcrossing this line to turn left,it should be to the left of you. That’s ...
A degree in social work and a brief time in that line of work led Becca back to Car and Driver and eventually on to the fleet side of things, where she produced large-scale automotive launches and events. Becca left the auto industry in 2013 when she went on to become a yoga ...
The subsequent U- Net2 model and the final improved U-Net model showed less than a 1% improvement, indicating that the uneven scale of road labels has the greatest impact on network detection performance. In terms of the detection speed, although the FCNs model boasted the fastest detection ...
Figure 15. (a) A data set with many outliers for which a line has to be fitted. (b) Fitted line with RANSAC; outliers do not influence the result. 4.1. RANSAC Method to Road Lane Recognition After the development of the RANSAC code, several strands have been developed. All RANSAC code...
Although this assumption may not completely capture the heterogeneous nature of an urban road network, it is in-line with the operational uses of most of the traffic operation centres. 3.2. Clustering episodes for NRC detection This section explains the proposed spatio-temporal clustering method to ...
In [67], an image acquisition system is designed, which uses multi-line scanning cameras. The objective is to capture images of the tunnel surface to generate a model for automatic crack detection. For the training of the model, three stages were developed. The first is an improvement of th...