Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
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Updated
Dec 14, 2022 - Python
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Lane detection and classification in an end-to-end Deep Learning fashion
Neural network to predict and draw traffic lanes.
Lane follower: Lane-detector (OpenCV) + Object-detector (YOLO5) + CAN-bus
Spatial-CNN for lane detection in MATLAB.
A proposed indoor navigation system for the visually impaired based upon computer vision.
Official Python implementation of RONELD method (ICPR 2020)
Advanced lane detection using computer vision
Lane finding algorithm using Hough line detection
Semi-autonomous system for lane keeping based on C++ & OpenCV 4.x
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
An OpenCV implementation of road lane detection written in Python.
Lane identification system for camera based systems.
A Python library to detect lane lines from camera imagery and output a lane model.
Using OpenCV to Detect Road Lanes and Stabilize Results
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