Udacity Self-Driving Car Engineer Nanodegree projects.
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Updated
Mar 28, 2023 - C++
Udacity Self-Driving Car Engineer Nanodegree projects.
OpenCV implementation of lane and vehicle tracking
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
Lane detection model for mobile device via MNN project
Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree
Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra
Lane depertaure and Yolo objection detection C++ Linux
High Performance Lane Detection using Computer Vision and CUDA.
A Software-in-the-Loop simulator for a lane keeping assist system (LKAS) using V-REP to validate the LKAS controller and the lane detection algorithm.
分别使用OpenCV、ONNXRuntime部署Ultra-Fast-Lane-Detection-v2车道线检测,包含C++和Python两种版本的程序
Lane Detection and Departure warning.
使用ONNXRuntime部署LSTR基于Transformer的端到端实时车道线检测,包含C++和Python两个版本的程序
My work from the Self-Driving Car Nanodegree Program
Projects for Udacity's self-driving-car Nano-Degree program
Basic lane detection program written in C++
ADAS app, for driving safty .YOLOX tiny + lane detection on Android with 15 FPS!
Machine-learning based Robotic car, autonomously following the lane line, using Raspberry PI, Tensorflow C++ API , Open CV
Self Driving Car Engineer Nanodegree
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