Machine learning package to train a robot grasp objects in an optimal manner using a trained SVM model on a point-cloud
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Updated
Mar 19, 2016 - C++
Machine learning package to train a robot grasp objects in an optimal manner using a trained SVM model on a point-cloud
Sensor Fusion Lidar Obstacle Detection
NSL3130AA, NSL1110AA, OpenCV, PCL, Deep Learning, SSD-MobilenetV2
according the point cloud label information generate Corresponding point cloud
Aim to improve the code quality
Collision Avoidance Framework integrating Lidar and camera measurements, implementing advanced bounding boxes and Lidar and Camera based Time To Collision (TTC)
Jacobs University MSc Thesis - Computer Vision (3D Reconstruction)
Converts a 3D Point Cloud into a 2D laser scan.
ROS implementation of ICP (Iterative Closest Point) matching
C++ algorithm to estimate percent canopy missing of a stem tree using PCL
A small header-only library to use point clouds of arbitrary formats in PCL algorithms without unnecessary copying.
DTULidar is a simple cheap prototype to map in 3D using a range sensor and two motors.
Aim to improve the code quality
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