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)
Advanced lane detection using computer vision
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
Lane detection and classification in an end-to-end Deep Learning fashion
Lane identification system for camera based systems.
Spatial-CNN for lane detection in MATLAB.
Official Python implementation of RONELD method (ICPR 2020)
Lane follower: Lane-detector (OpenCV) + Object-detector (YOLO5) + CAN-bus
Semi-autonomous system for lane keeping based on C++ & OpenCV 4.x
A proposed indoor navigation system for the visually impaired based upon computer vision.
Lane finding algorithm using Hough line detection
An OpenCV implementation of road lane detection written in Python.
Neural network to predict and draw traffic lanes.
Using OpenCV to Detect Road Lanes and Stabilize Results
A Python library to detect lane lines from camera imagery and output a lane model.
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