experiencor / semantic-lane-detection
A robust lane detection system based on fully convolutional network for segmenting the road and the lane.
☆53Updated 7 years ago
Alternatives and similar repositories for semantic-lane-detection
Users that are interested in semantic-lane-detection are comparing it to the libraries listed below
Sorting:
- ☆43Updated 8 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Semantic Segmentation (Advanced Deep Learning) Project.☆33Updated 7 years ago
- A Python program for lane line detection and tracking using a traditional computer vision approach☆44Updated 7 years ago
- Example of loading a Keras model into TensorRT C++ API☆51Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆87Updated 7 years ago
- ☆29Updated 8 years ago
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 7 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆58Updated 7 years ago
- Ego-Lane Analysis System (ELAS): Dataset and Algorithms (Image and Vision Computing, 2017)☆47Updated 3 years ago
- Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images☆86Updated 7 years ago
- Multi-lane detection in urban driving environments using conditional random fields☆42Updated 5 years ago
- ☆13Updated 6 years ago
- Real-time LISA Traffic Sign Detection by YOLOv2☆26Updated 7 years ago
- A vehicle tracker based on sliding windows, HOG and an SVM☆44Updated 8 years ago
- ☆36Updated 4 years ago
- ☆69Updated 8 years ago
- YOLO model with 3D bounding box estimation☆52Updated 7 years ago
- Lane Detection and Particle Filter Tracking☆25Updated 9 years ago
- An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation☆135Updated 8 years ago
- ☆28Updated 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
- Using OpenCV to detect Lane lines on Roads☆77Updated 8 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
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.☆65Updated 8 years ago
- Robust Highway Lane Segmentation Based on LaneNet Trained BDD100K☆29Updated 6 years ago
- Realtime Semantic Segmentation for Mobile Platforms based on Tensorflow's Deeblap Model☆84Updated 7 years ago
- A traffic lights detector using the TensorFlow object detection API☆31Updated 7 years ago
- Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection☆125Updated 7 years ago
- ☆114Updated 4 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 8 years ago