Lane Detection
Lane and vehicle detection software for an autonomous vehicle.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Self Driving Car | 2,479 | a year ago | 11 | C++ | ||||||
| Udacity Self-Driving Car Engineer Nanodegree projects. | ||||||||||
| Datmo | 225 | 7 months ago | 3 | bsd-2-clause | C++ | |||||
| Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar. | ||||||||||
| Venom | 146 | 3 years ago | mit | Python | ||||||
| All Terrain Autonomous Quadruped | ||||||||||
| Carnd Catch Run Away Car Ukf | 32 | 2 years ago | mit | C++ | ||||||
| In this Bonus Challenge use an Unscented Kalman Filter to try and catch a car moving in a continuous circle at constant velocity. | ||||||||||
| Error State Extended Kalman Filter | 19 | 5 years ago | Python | |||||||
| Vehicle State Estimation using Error-State Extended Kalman Filter | ||||||||||
| Tracking_multiple_objects_in_surveillance_cameras | 19 | 6 years ago | 2 | Matlab | ||||||
| Automatic detection and tracking of moving vehicles in a video from a surveillance camera | ||||||||||
| Self Driving | 17 | 6 years ago | C++ | |||||||
| This project is Udacity Self-Driving Car Engineer Nanodegree implementations. | ||||||||||
| Vehicledetectionandtracking | 14 | 6 years ago | 1 | gpl-3.0 | Python | |||||
| Modified TensorFlow Object Detection Model for vehicle detection and tracking | ||||||||||
| Vehicle Detection | 14 | 7 years ago | Python | |||||||
| I implemented Vehicle Detection and Tracking algorithm using HOG, SVM, and Kalman filter. This is Udacity Self-Driving CarND Term 1 Project 5: Video for vehicle detection and tracking. | ||||||||||
| Imu Gnss Lidar Sensor Fusion Using Extended Kalman Filter For State Estimation | 12 | 4 years ago | 1 | Python | ||||||
| State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF). | ||||||||||
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