Based on the problems encountered in detecting objects by autonomous vehicles an effort has been made to demonstrate lane detection using Open CV library.doi:10.1051/e3sconf/202235303002Kishor RArchana CVirendra TaleleJoshi RDixit PS S Rathore...
cv::VideoCapture cap("G:\\视频\\弯道\\cv2_curve.mp4"); //cv::VideoWriter vw; //vw.open("C:\\Users\\lvdon\\source\\repos\\C_test\\test.mp4", //路径 // CV_FOURCC('m', 'p', '4', 'v'), //编码格式 // 30, //帧率 // cv::Size(800, // 288));//尺寸 cv::Mat im...
Python Built a real-time lane departure warning system with a monocular camera, using OpenCV. autonomous-drivinglane-detectionlane-departure-warning UpdatedMay 12, 2020 Python The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YO...
Open source code:https://github.com/MaybeShewill-CV/lanenet-lane-detection The open source code uses the LaneNet deep neural network model for real-time lane detection (unofficial version) The model consists of encoder-decoder stage, binary semantic segmentation stage and instance semantic segmentation...
Please cite my repolanenet-lane-detectionif you use it. Segment-Anything-U-Specify You must be interested in recently released SAM model. Here's a repo using clip + sam to segment any instances you specify.segment-anything-u-specify.
The calculated values were then compared to the minimum particle size of the glass beads, allowing for effective detection of glass beads using computer vision.(1)GSD=SensorSize×DistanceFocalLength×Resolution If the physical field of view (FOV) captured by the camera is wider than the lane ...
"Implemented automated testing procedures, reducing bug detection time by 75% and increasing overall software stability by 30%" Showcase Unique Projects: Highlight any standout projects or innovations you've worked on, especially if they're relevant to the position you're applying for. ...
Lane departure detection plays a vital role in the Advanced Driver assistive systems and it improves the vehicle's active safe driving. A wholesome lane detection method which is based on computer vision techniques, is introduced. The lane boundaries and its radius of curvatures and lane direction...
This is the repository of the paper "Lane Detection and Classification using Cascaded CNNs". Only the inference code is public, and it is documented using a Jupyter Notebook. To see the system in action, please openthe notebook. You can find the datasethereand the class labelshere. ...
replicated array of coordinates, andobjpointswill be appended with a copy of it every time I successfully detect all chessboard corners in a test image.imgpointswill be appended with the (x, y) pixel position of each of the corners in the image plane with each successful chessboard detection...