Simple Detection and Classification of Road Lanes based on Image Processing

Abstract

Abstract-Road accidents, besides being one of the main causes of mortality, have an economic impact on vehicle owners. Several conditions as driver imprudence, road conditions and obstacles are the main factor that will cause accidents. The most important automotive industries are incorporating technology to reduce risk in vehicles. In this way, lane detection systems have important attention, because from this data is possible to determine risk situations such as presence of obstacles, incorrect lane changes or lane departures. This paper proposes a technique for lane detection, based on image processing, which allows identifying the position of lateral lanes and their type. The method is composed of four stages: edge enhancement, potential lanes detection, post-processing and color lane estimation. The method was proved using image dataset and video captures over 12.000 frames. The accuracy of the system was of 91.9%.

Research on Basketball Goal Recognition Based on Image Processing and Improved Algorithm

“…e spatial dimension is one dimension of CCD photosensitive plane parallel to the slit, and the spectral dimension is one dimension of CCD photosensitive plane perpendicular to the slit. In each row of photosensitive elements of spatial dimension, a spectral image of basketball goal is acquired, which means that each frame image in CCD corresponds to the multispectral image of basketball goal [10]. e spectral range of the system is 1000-1800 nm, the image resolution is 320 × 256 pixels, the frame rate is 100 Hz, the dynamic range is 68 dB, the exposure time is 1 μs-400 s, and the power is less than 5 W. e resolution of the image spectrometer is 5 nm, the slit width is 30 μm, the pixel size is 7.6 mm × 14.2 mm, the numerical aperture is F/2.0, and the light flux is more than 50% in the range of 1000-1800 nm.…”

A Smart System for Detection of Road Lane and Divider

“…World Health Organization (WHO) [1] highlights that minimum of 3,500 people died in traffic accidents on a daily basis. Advanced driver assistance systems (ADAS) are being designed [2] to facilitate safe driving.…”