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