This project was done as part of the Udacity self driving car nanodegree program. Video Link The image processing pipeline used involves the following techniques Guassian blur to remove high frequency information. Canny edge detection. Region of interest mask. Hough transform line detection. Dataset ...
The main contributions of this method are: (1) The multitask detection network has high accuracy and detection efficiency; (2) the lane line detection network is lightweight and the calculation costs are reduced; and (3) ST-LaneNet solves the problems of special scenarios (such as scenes with...
1. Submission Files My project includes the following files: 2. Camera Calibration I start by preparing "object points", which will be the (x, y, z) coordinates of the chessboard corners in the world. Here I am assuming the chessboard is fixed on the (x, y) plane at z=0, such tha...
intLaneDetectionComponent::InitConfig(){// the macro READ_CONF would return cyber::FAIL if config not exists//将conf目录下的配置文件信息,load到lane_detection_param结构体中,LaneDetection是定义的proto数据结构apollo::perception::onboard::LaneDetectionlane_detection_param;if(!GetProtoConfig(&lane_detec...
update the code, support the new model, but the line fitting part is n… 6年前 requirements.txt first commit 6年前 Loading... README LaneNet Ros Node Dependencies launch the node Future works LaneNet Ros Node This project is modified from the lanenet-lane-detection project(see:https://gith...
Similar to lane detection for automatic driving, lane detection for traffic management will be faced with many same challenges, such as fog, night, shadow, no line and etc. However, the lane detection for urban traffic management will be faced with new and unique challenges. Firstly, lane ...
Lane line recognition algorithm based on threshold segmentation and continuity of lane line Y. Chai et al. The multi-scale hough transform lane detection method based on the algorithm of otsu and cannyView more references Cited by (147) Deep embedded hybrid CNN–LSTM network for lane detection ...
base_path = "D:/Personal_Task/A3_ADASProject/Traffic_Line/dataset/train_set/" targetpath = "D:/Personal_Task/A3_ADASProject/Traffic_Line/dataset/" traintxt_path = "D:/Personal_Task/A3_ADASProject/Traffic_Line/dataset/test.txt" file = open(base_path + 'test_label.json', 'r') ...
t:78%|███████▊|172/221[00:02<00:00,61.41it/s,now=None]Traceback(mostrecentcalllast):File"E:/PythonProject/udacity_selfdriving/lane_extraction/lane_detection.py",line229,in<module>white_clip.write_videofile(white_output,audio=False)#输出视频文件...npack(expected4,got0)Process...
update the code, support the new model, but the line fitting part is … May 24, 2019 requirements.txt first commit Apr 17, 2019 View all files LaneNet Ros Node This project is modified from the lanenet-lane-detection project(see:https://github.com/MaybeShewill-CV/lanenet-lane-detection) ...