jluo-bgl / Self-Driving-Car-Vehicle-Detection
Self Driving Car Vehicle Detection
☆70Updated 7 years ago
Alternatives and similar repositories for Self-Driving-Car-Vehicle-Detection:
Users that are interested in Self-Driving-Car-Vehicle-Detection are comparing it to the libraries listed below
- Dark Flow (YOLOv2) for Traffic Light Detection Implemented for ROS☆89Updated 7 years ago
- Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.☆68Updated 6 years ago
- P4_AdvancedLaneFinding☆34Updated 8 years ago
- Vehicle Detection with Convolutional Neural Network☆154Updated 7 years ago
- ☆43Updated 8 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.☆65Updated 8 years ago
- A robust lane detection system based on fully convolutional network for segmenting the road and the lane.☆53Updated 7 years ago
- Using OpenCV to detect Lane lines on Roads☆77Updated 7 years ago
- Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking☆226Updated 2 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆58Updated 7 years ago
- [repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence☆94Updated 7 years ago
- Team East Coast's implementation of the System Integration capstone project in the Udacity Self-Driving Car Nanodegree Program.☆35Updated 7 years ago
- I am using an ensemble of classic computer vision and modern deep learning techniques, to detect the lane lines and the vehicles on a hig…☆48Updated 7 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆87Updated 7 years ago
- Lane detection using OpenCV☆99Updated 11 years ago
- real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method☆139Updated 8 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Semantic Segmentation (Advanced Deep Learning) Project.☆33Updated 7 years ago
- vehicle detection with deep learning☆34Updated 7 years ago
- Machine learning models for self-driving cars☆66Updated 8 years ago
- ☆28Updated 7 years ago
- A Python program for lane line detection and tracking using a traditional computer vision approach☆44Updated 7 years ago
- A vehicle tracker based on sliding windows, HOG and an SVM☆44Updated 8 years ago
- Monocular vehicle detection using SVM and Deep Learning classifiers☆28Updated 7 years ago
- Vehicle detection using YOLO in Keras runs at 21FPS☆388Updated 7 years ago
- An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation☆135Updated 8 years ago
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 7 years ago
- ☆36Updated 4 years ago
- Finding lane lines on a video using computer vision☆30Updated 3 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding☆53Updated 8 years ago
- Lane detection and tracking☆121Updated 6 months ago