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lidar-obstacle-detection
Implements RANSAC plane-fitting, KD-tree and Euclidean clustering without PCL built-in functionscamera_lidar_sensor-fusion_waymo
Measurements from LiDAR and camera of tracked vehicles are fused over time. Real-world data from the Waymo Open Dataset is used to detect objects in 3D point clouds and apply an extended Kalman filter for sensor fusion and trackingGANs
Generative Adversarial Networks from from the ground up.object-tracking-3D
Match 3D objects over time by using keypoint correspondences. Compute the TTC based on Lidar and camera measurements.CarND-Unscented-Kalman-Filter-Project
extended-kalman-filter
A Kalman Kilter is used to estimate the state of a moving object of interest with noisy lidar and radar measurements. RMSE values are lower than a specified tolerance.nand2tetris
Repository for the nand2tetris course where I create a computer starting from Nand gates. Mainly Hardware Description Language (HDL).CarND-Traffic-Sign-Classifier-Project
camera_lidar_fusion
Sensor fusion with camera and lidar via an extended kalman filtermotion-planning-carla-simulator
Code for a motion planner in the Carla Simulator based on the Udacity Self-driving Car courseAI-at-the-Edge
Inference with Intel's Public Zoo and Neural Compute Stick 2drone-estimation
drone-motion-planning
drone-control
Udacity's drone control project.opencv_practice
In this repository I store the OpenCV practive excercisesdrone-project
This drone project is based in the on Udacity's Flying car Nanodegree program. Here three individual projectsmobile_apps
In this repository I store my mobile apps demosLove Open Source and this site? Check out how you can help us