burgalon / deep-learning-traffic-lights
Keras solution for recognizing traffic light from dash camera
☆35Updated 8 years ago
Alternatives and similar repositories for deep-learning-traffic-lights:
Users that are interested in deep-learning-traffic-lights are comparing it to the libraries listed below
- ☆16Updated 8 years ago
- Machine learning models for self-driving cars☆66Updated 8 years ago
- A robust lane detection system based on fully convolutional network for segmenting the road and the lane.☆53Updated 7 years ago
- P4_AdvancedLaneFinding☆34Updated 8 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆58Updated 7 years ago
- Dark Flow (YOLOv2) for Traffic Light Detection Implemented for ROS☆89Updated 7 years ago
- Self Driving Car Vehicle Detection☆70Updated 7 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.☆53Updated 7 years ago
- Vehicle Detection Project☆21Updated 8 years ago
- Find lane lines using camera calibration, undistortion, binary thresholding, perspective transform, and line-fitting.☆16Updated 8 years ago
- ☆43Updated 8 years ago
- Locates and tracks the position of lane lines (and the car) in dashcam video.☆49Updated 7 years ago
- Finding lane lines on a video using computer vision☆30Updated 3 years ago
- A Python program for lane line detection and tracking using a traditional computer vision approach☆44Updated 7 years ago
- Real-time LISA Traffic Sign Detection by YOLOv2☆25Updated 7 years ago
- p5_VehicleDetection_Unet☆95Updated 8 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
- Roslaunch to visualize a rosbag file from Udacity (DiDi Challenge)☆69Updated 7 years ago
- ☆24Updated 8 years ago
- A vehicle tracker based on sliding windows, HOG and an SVM☆44Updated 7 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding☆53Updated 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
- Pedestrian Detection Project Codes and Documentations☆23Updated 10 years ago
- This is a deep learing approach to Udacitys "Vehicle Detection and Tracking" project in the CarND using CNNs.☆27Updated 7 years ago
- vehicle detection with deep learning☆34Updated 7 years ago
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 7 years ago
- Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices☆23Updated 8 years ago
- Model for the extraction of lane lines, both curved and straight, from the road. Augmented the lane area, as well added important metrics…☆79Updated 8 years ago
- ☆36Updated 4 years ago
- ☆137Updated 7 years ago