Popular GitHub Repositories for Lane Centering Assist

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Use your locally running AI models to assist you in your web browsing

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

LSP-AI is an open-source language server that serves as a backend for AI-powered functionality, designed to assist and empower software engineers, not replace them.

Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.

Unofficial implemention of lanenet model for real time lane detection

You Only Look Once for Panopitic Driving Perception.（MIR2022）

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner - ONNX/YOLOv8 - C#)

For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning ?

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

PytorchAutoDrive: 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

An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT