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Recognize between multiple gestures using a hidden markov model through acceleration data
A machine learning based approach using CNNs to detect the absolute depth of objects with in a single monocular still image
Simultaneous localization and planning for biped robot and texture mapping. Uses LIDAR scans; IMU roll, pitch, yaw data; gyro; and Kinect for RGB-Depth images for texture map
Uses OpenAI Gym with Q-Learning, Value iteration, REINFORCE Policy Gradient with Continuous State Space and Continuous Action Space
From multiple camera poses do image rectification and do structure from motion to create a RBG point cloud of the pixels in 3D space
Quadrotor Trajectory Planning, Shortest Path Planning, Pose Estimation, Visual Velocity Estimation, Visual Extended Kalman Filter, Visual Structure from Motion,
in the last year
July - August 2018
RajatBhageria has no activity yet for this period.
in private repositories
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