Path planning in aerial images using imitation learning
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Updated
Jan 10, 2020 - TeX
Path planning in aerial images using imitation learning
Gesture recognition using Hidden Markov Models
Simultaneous Localization and Mapping using particle filters
Object detection of red barrels using Gaussian Mixture Models
SLAM with occupancy grid and particle filter, using lidar, joints, IMU and odometry data from THOR humanoid robot
6D Object Pose Estimation using RGBD Data and Fast-ICP
a quaternion-based Unscented Kalman Filter on IMU to estimate quadrotor orientation. With estimates and camera data, a sphere panorama is generated by image stitching
a left-to-right Hidden Markov Model for cellphone gesture recognition, using IMU data
a hybrid Gaussian Mixture Model for color segmentation, and connected component analysis for object detection
ESE 650: Learning in Robotics, Project 3, Gesture Recognition using Hidden Markov Models and IMU Data
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