Autonomous navigation for blind people

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

Lane Detection for Self Driving Car

Autonomous Driving Simulator for the Portuguese Robotics Open

Lane identification system for camera based systems.

This is an implementation of various algorithms and techniques required to build a simple Self Driving Car. A modified versions of the Udacity Self Driving Car Simulator is used as a testing environment.

Ros node to use LaneNet to detect the lane in camera

Udacity Self-Driving Car Engineer Nanodegree projects.

A paper list with code of lane detection.

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

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

Gathers signal processing, computer vision, machine learning and deep learning for self-driving car engines.

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 2020)

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

A paper list of lane detection.

Lane depertaure and Yolo objection detection C++ Linux