Lane Line Detection Based on Improved Semantic Segmentation in Complex Road Environment
نویسندگان
چکیده
منابع مشابه
On-Road Vehicle and Lane Detection
We implement lane detection using edge detection, Hough transforms, and vanishing point filtering in Hough space; the car detection is implemented by using histogram of oriented gradients feature descriptors and classified by linear support vector machines. Hard-negative mining is applied to alleviate detection of false positives; with the information of vanishing point along with prior knowled...
متن کاملA New Lane Line Segmentation and Detection Method based on Inverse Perspective Mapping
Lane line detection plays an important role in vehicle autonomous driving, however non lane line markings and vehicle shadows seriously influence lane line detection results. In this paper, we propose a new lane line segmentation and detection algorithm based on inverse perspective mapping (IPM). Firstly, by using the restriction of the consistent lane line width after IPM, we segment the lane ...
متن کاملLane Detection Based on Object Segmentation and Piecewise Fitting
A lane detection algorithm for complex environment was proposed. It was concerned on selecting candidate lane region by object segmentation. Then redundancy edges were extracted by Sobel operator. Furthermore, candidate lane markers were obtained by threshold selection from the edges. Finally lane markers were detected by piecewise fitting. The proposed algorithm was simulated in MATLAB. Experi...
متن کاملImproved Traffic Lane Edge Detection Algorithm Based on Mathematical Morphology
In view of the limited anti-noise of traditional traffic lane edge detection algorithm, the paper put forward to a new traffic lane edge detection algorithm based on traditional mathematical morphology. For solving the problem of uneven road surface caused by illumination and rainy, this paper combine two method of morphological filter and Otsu to segment image and take the improved algorithm t...
متن کاملSemantic segmentation of road images based on cascade classifiers
In this work a novel algorithm for lane marking and road-covering defects detection on rectified images of road covering is proposed. Proposed method is based on image over-segmentation and classification of resulting segments. We use cascaded classifiers for lane marking and road defects detection. Each cascade layer involves binary classification and the last layer involves multi-class classi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors and Materials
سال: 2021
ISSN: ['0914-4935', '2435-0869']
DOI: https://doi.org/10.18494/sam.2021.3544