27 skills found
georgesung / Advanced Lane DetectionAdvanced lane detection using computer vision
kemfic / Curved Lane Linesdetect curved lane lines using HSV filtering and sliding window search.
rzou15 / Object Detection In Point Cloud Road BoundaryObject detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.
Dt-Pham / Advanced Lane LinesA pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.
alexstaravoitau / Detecting Road FeaturesDetecting Road Features: identifying lane and vehicles boundaries in a video.
baidut / ITSexperiments about automobile vision, now focusing on lane marking/boundary detection & tracking. see more https://github.com/baidut/OpenVehicleVision
fabvio / Cascade LDLane detection and classification in an end-to-end Deep Learning fashion
mohamedameen-io / Advanced Lane Finding Using OpenCVIn this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.
Kilichbek / Advanced Lane DetectionProject: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree
binbli / Virtual Lane Boundary GenerationVirtual Lane Boundary Generation for Human-Compatible Autonomous Driving
snandasena / Advanced Lane FindingUdacity Self-Driving Car Engineer.
rbhatia46 / LiDAR Road AnalysisGiven a 3D point cloud obtained by a LiDAR sensor mounted on a car, output the road properties such as road boundaries, lane markings, lane geometry.
Harvey-MSKim / MPC Project Trajectory Generation Using MPC For High Speed OvertakingIn this study model predictive control is applied to a vehicle overtaking slower moving vehicles in a one way, two lane road. A risk map is defined considering the road boundaries, the center of the two lanes, and distance relative to other vehicles. The results of this study found that the vehicle was able to conduct safe lane changes while avoiding unsafe regions defined by the risk map
subodh-malgonde / Advanced Lane FindingIdentify the lane boundaries in a video.
mbshbn / Lane Line Detection Using Color Transform And GradientSoftware pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradient
jygan / Advanced Lane DetectionDeveloped a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. Detect lane lines in a variety of conditions, including changing road surfaces, curved roads, and variable lighting.
KareimGazer / Perception Stacksoftware pipeline to identify the lane boundaries and cars in a video for autonomous self-driving cars
rishii-hub / Realtime Lane DetectionA real-time lane detection system built using Python and OpenCV. It processes webcam/video/IP camera streams, detects lane boundaries using Canny + Hough Transform, applies smoothing, and visualizes lane regions with performance metrics—similar to basic ADAS lane assist in modern cars.
Yousef-Hesham / Advanced Lane Lines DetectionIn this project i'm using traditional Computer Vision (i.e. non-machine learning) techniques to develop an advanced and robust algorithm that can detect and track lane boundaries in a video.
lawga / CarND Advanced Lane LinesThis project is to detect lanes in a video or image and project the results on the output. advanced math and image processing including openCV was used to finish the project.
