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Dive into the research topics where Dheeraj Ahuja is active.

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Featured researches published by Dheeraj Ahuja.


intelligent robots and systems | 2015

Smartphones power flying robots

Giuseppe Loianno; Yash Mulgaonkar; Chris Brunner; Dheeraj Ahuja; Arvind Ramanandan; Murali Ramaswamy Chari; Serafin Diaz; Vijay Kumar

Consumer grade technology seen in cameras and phones has led to the price/performance ratio of sensors and processors falling dramatically over the last decade. In particular, most devices are packaged with a camera, a gyroscope, and an accelerometer, important sensors for aerial robotics. The low mass and small form factor make them particularly well suited for autonomous flight with small flying robots, especially in GPS-denied environments. In this work, we present the first fully autonomous smartphone-based quadrotor. All the computation, sensing and control runs on an off-the-shelf smartphone, with all the software functionality in a smartphone app.We show how quadrotors can be stabilized and controlled to achieve autonomous flight in indoor buildings with application to smart homes, search and rescue, construction and architecture. The work allows any consumer with a smartphone to autonomously drive a quadrotor robot platform, even without GPS, by downloading an app, and concurrently build 3-D maps.


intelligent robots and systems | 2016

A swarm of flying smartphones

Giuseppe Loianno; Yash Mulgaonkar; Chris Brunner; Dheeraj Ahuja; Arvind Ramanandan; Murali Ramaswamy Chari; Serafin Diaz; Vijay Kumar

In the last decade, consumer electronic devices such as smartphones, are packaged with small cameras, gyroscopes, and accelerometers, all sensors allowing autonomous deployment of aerial robots in GPS-denied environments. Our previous work [1], demonstrated the feasibility of using smartphones for autonomous flight. In many applications, there is a large interest to the use multiple autonomous aerial vehicles in a cooperative manner to speed up the operation of the mission. In this work, we present the first fully autonomous smartphone-based swarm of quadrotors. Multiple vehicles are able to plan safe trajectories avoiding inter-robot collisions, optimizing at the same time a given task and concurrently building in a cooperative manner a 3-D map of the environment. The sensing, sensor fusion, control, and planning are all done on an offthe- shelf Samsung Galaxy S5 smartphone using just the single camera and IMU available on the phone. The work allows any consumer with multiple smartphones to autonomously drive a swarm of multiple vehicles without GPS, by downloading an app, and have the swarm cooperatively map a 3-D environment.


The International Journal of Robotics Research | 2018

Autonomous flight and cooperative control for reconstruction using aerial robots powered by smartphones

Giuseppe Loianno; Yash Mulgaonkar; Chris Brunner; Dheeraj Ahuja; Arvind Ramanandan; Murali Ramaswamy Chari; Serafin Diaz; Vijay Kumar

Advances in consumer electronics products and the technology seen in personal computers, digital cameras, and smartphones phones have led to the price/performance ratio of sensors and processors falling dramatically over the last decade. In particular, many consumer products are packaged with small cameras, gyroscopes, and accelerometers, all sensors that are needed for autonomous robots in GPS-denied environments. The low mass and small form factor make them particularly well suited for autonomous flight with small flying robots. In this work, we present the first fully autonomous smartphone-based system for quadrotors. We show how multiple quadrotors can be stabilized and controlled to achieve autonomous flight in indoor buildings with application to smart homes, search and rescue, monitoring construction projects, and developing models for architecture design. In our work, the computation for sensing and control runs on an off-the-shelf smartphone, with all the software functionality embedded in a smartphone app. No additional sensors or processors are required for autonomous flight. We are also able to use multiple, coordinated autonomous aerial vehicles to improve the efficiency of our mission. In our framework, multiple vehicles are able to plan safe trajectories avoiding inter-robot collisions, while concurrently building in a cooperative manner a three-dimensional map of the environment. The work allows any consumer with any number of robots equipped with smartphones to autonomously drive a team of quadrotor robots, even without GPS, by downloading our app and cooperatively build three-dimensional maps.


Archive | 2011

Online reference generation and tracking for multi-user augmented reality

Bolan Jiang; Ashwin Swaminathan; Serafin Diaz Spindola; Dheeraj Ahuja; Charles Wheeler Sweet; Prasun Choudhury


Archive | 2012

ONLINE REFERENCE PATCH GENERATION AND POSE ESTIMATION FOR AUGMENTED REALITY

Bolan Jiang; Charles Wheeler Sweet; Prasun Choudhury; Dheeraj Ahuja


Archive | 2014

Systems and Methods for Feature-Based Tracking

Guy-Richard Kayombya; Seyed Hesameddin Najafi Shoushtari; Dheeraj Ahuja; Yanghai Tsin


Archive | 2014

Robust tracking using point and line features

Dheeraj Ahuja; Kiyoung Kim; Yanghai Tsin; Seyed Hesameddin Najafi Shoushtari


Archive | 2013

Resolving homography decomposition ambiguity based on viewing angle range

Dheeraj Ahuja


Archive | 2011

RESOLVING HOMOGRAPHY DECOMPOSITION AMBIGUITY BASED ON ORIENTATION SENSORS

Bolan Jiang; Dheeraj Ahuja; Christopher Brunner


Archive | 2017

MISE EN CORRESPONDANCE GÉOMÉTRIQUE DANS DES SYSTÈMES DE NAVIGATION VISUELS

Paulo Ricardo Dos Santos Mendonca; Christopher Brunner; Arvind Ramanandan; Murali Ramaswamy Chari; Dheeraj Ahuja

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Vijay Kumar

University of Pennsylvania

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Yash Mulgaonkar

University of Pennsylvania

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