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Kiran Kumar Lekkala's Projects

cvg_ardrone2_ibvs icon cvg_ardrone2_ibvs

We present a vision based control strategy for tracking and following objects using an Unmanned Aerial Vehicle. We have developed an image based visual servoing method that uses only a forward looking camera for tracking and following objects from a multi-rotor UAV, without any dependence on GPS systems. Our proposed method tracks a user specified object continuously while maintaining a fixed distance from the object and also simultaneously keeping it in the center of the image plane. The algorithm is validated using a Parrot AR Drone 2.0 in outdoor conditions while tracking and following people, occlusions and also fast moving objects; showing the robustness of the proposed systems against perturbations and illumination changes. Our experiments show that the system is able to track a great variety of objects present in suburban areas, among others: people, windows, AC machines, cars and plants. urls: http://www.vision4uav.eu/?q=following and http://robotics.asu.edu/ardrone2_ibvs/ .

dronepilot icon dronepilot

Automatic pilot that can control and fly several drones, including Pixhawk's, APM's and MultiWii's

dso icon dso

Direct Sparse Odometry

duino icon duino

:bulb: Arduino framework for node.js

dvo icon dvo

Dense Visual Odometry

egoconvnet icon egoconvnet

Code for CVPR 2016 paper "First Person Action Recognition Using Deep Learned Descriptors"

fbctf icon fbctf

Platform to host Capture the Flag competitions

holmes-storage icon holmes-storage

The Storage Planner manages access to all data within the Holmes Processing system. It orchestrates the interaction across multiple Databases, serves the files for analysis, etc.

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