83 skills found · Page 1 of 3
voldemortX / Pytorch Auto DrivePytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
iwatake2222 / Self Driving Ish Computer Vision SystemThis project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
gujingxiao / Lane Segmentation Solution For BaiduAI Autonomous Driving CompetitionLane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)
bamwani / Car Counting And Speed Estimation Yolo Sort PythonThis project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
harryhan618 / LaneNetPytorch implementation of "Towards end-to-end lane detection: an instance segmentation approach"
baidut / OpenVehicleVisionAn opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
POSTECH-IMLAB / LaneSegmentationNetworkThe deep semantic segmentation network for lane segmentation.
jaeoh2 / Road Lane Instance Segmentation PyTorchtuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.
ibaiGorordo / Ultrafast Lane Detection Inference Pytorch Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.
StevieG47 / Matlab ComputerVisionCar Tracking, Lane Detection, Traffic Sign Recognition, Homography, Color Segmentation, Visual Odometry
ericlavigne / CarND Detect Lane Lines And VehiclesUse segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
ShenhanQian / Lane Detection An Instance Segmentation ApproachAn unofficial implementation of the paper "Towards End-to-End Lane Detection: an Instance Segmentation Approach".
recepayddogdu / Object Detection Classification Ford Otosan Intern P2Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.
ibaiGorordo / Onnx Ultra Fast Lane Detection InferenceExample scripts for the detection of lanes using the ultra fast lane detection model in ONNX.
Sh-Zh-7 / Intelligent Transportation SystemCV integrated project. Including MOT to track cars and pedestrians, object detection and image classification to get license plate content, semantic segmentation to get zebra crossing, tradition method to get area of lanes .etc.
pablopalafox / Semantic DepthFusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines
namemzy / Road Marking SegmentationA project for lane detection and road marking segmentation on embedded device for autonomous vehicles.
shirokunet / Lane SegmentationRobust Highway Lane Segmentation Based on LaneNet Trained BDD100K
mjDelta / CV In ADAS PytorchThis repo includes Unet, Spatial CNN (S-CNN) and VPNet for lane segmentation, and YOLO, Faster-RCNN, Stereo-RCNN for vehicle detection.
plemeri / LaneSODLane Segmentation powered by InSPyReNet (ACCV 2022).
