Papers by RAZEEN RIDHWAN U
UAV's (Unmanned Aerial Vehicle open space, far from any obstacles and relay on mainly GPS (Gl... more UAV's (Unmanned Aerial Vehicle open space, far from any obstacles and relay on mainly GPS (Global Positioning System) to navigate. This approach precludes them autonomously at low altitudes, in clutter environments. The autonomous flight in environments like houses or urban canyo maneuverability, fast mapping from sensors very limited overall system weight. The flyin capable of coping with such situations and navigation method is to be adopted. The optic will be best suited for these situations. Optical which is used to determine the motion of t objects in relation to the observer. The use power consumption in the optical flow naviga less when compared to other navigational aids developed for micro air vehicles enabling t environments with high maneuverability fast little overall system weight. e) in general fly in n external beacons, localize them and m from evolving red and confined n these cluttered ons requires high s to actuators and g animals are well so a much similar cal...
International Journal of Scientific & Technology Research, 2014
In the “Aerodynamic performance of wind turbine blade by using high lifting device” described tha... more In the “Aerodynamic performance of wind turbine blade by using high lifting device” described that different velocity flow of air is passing through the wind turbine blade model and analyze through a numerical simulation that the pressure variation occur at that surface of the model. Before we built wind turbine blade in any strong wind blowing region the aerodynamic flow analysis is must for withstand the strong wind affects. In this chapter, basic nature of winds and types, wind affects through the wind turbine blade, formation of internal pressure and atmospheric boundary layer. This project could be done with the help of so many research papers were taken and followed in the literature review. The main tool we used in the project is CFD, so we gave some introduction about the CFD and how it could be used. Then we compared the results at the different models in different angles having with and without flap in 2D and 3D. We didn’t do any practical oriented models just we design th...
UAV's (Unmanned Aerial Vehicle) in general fly in open space, far from any obstacles and rela... more UAV's (Unmanned Aerial Vehicle) in general fly in open space, far from any obstacles and relay on external beacons, mainly GPS (Global Positioning System) to localize them and navigate. This approach precludes them from evolving autonomously at low altitudes, in cluttered and confined environments. The autonomous flight in these cluttered environments like houses or urban canyons requires high maneuverability, fast mapping from sensors to actuators and very limited overall system weight. The flying animals are well capable of coping with such situations and so a much similar navigation method is to be adopted. The optical flow navigation will be best suited for these situations. The optical flow is the pattern of apparent motion of objects, surfaces, and edges in visual scene caused by the relative motion between the observer and scene. The use of hardware and power consumption in the optical flow navigation is very much less when compared to other navigational aids and thus it ...
2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE), 2015
UAV's (Unmanned Aerial Vehicle) in general fly in open space, far from any obstacles and rela... more UAV's (Unmanned Aerial Vehicle) in general fly in open space, far from any obstacles and relay on external beacons, mainly GPS (Global Positioning System) to localize them and navigate. This approach precludes them from evolving autonomously at low altitudes, in cluttered and confined environments. The autonomous flight in these cluttered environments like houses or urban canyons requires high maneuverability, fast mapping from sensors to actuators and very limited overall system weight. The flying animals are well capable of coping with such situations and so a much similar navigation method is to be adopted. The optical flow navigation will be best suited for these situations. Optical flow is a technique which is used to determine the motion of the surfaces of the objects in relation to the observer. The use of hardware and power consumption in the optical flow navigation is very much less when compared to other navigational aids and thus it is being developed for micro air vehicles enabling to fly in cluttered environments with high maneuverability fast mapping and very little overall system weight.
The main objective of this project is to develop a collision avoidance system in an UAV. Safe nav... more The main objective of this project is to develop a collision avoidance system in an UAV. Safe navigation through corridors plays a major role in the autonomous use of unmanned aerial vehicle (UAV) in indoor and outdoor environment. Nowadays the use of aerial vehicles in the indoor environment is getting popularized. The use of aerial vehicles in indoors has a disadvantage of getting collided with objects. To avoid collision with objects these aerial vehicles are to be installed with a collision avoidance system. In this project I present an approach for wall collision avoidance using ultrasonic sensors on a quad rotor. An IMU data is needed for maintaining the stability of the aerial vehicle. The presented approach is designed for safety maneuvering a UAV through indoor and outdoor corridor.
UAV’s (Unmanned Aerial Vehicle) in general fly in open space, far from any obstacles and relay on... more UAV’s (Unmanned Aerial Vehicle) in general fly in open space, far from any obstacles and relay on external beacons, mainly GPS (Global Positioning System) to localize them and navigate. This approach precludes them from evolving autonomously at low altitudes, in cluttered and confined environments. The autonomous flight in these cluttered environments like houses or urban canyons requires high maneuverability, fast mapping from sensors to actuators and very limited overall system weight. The flying animals are well capable of coping with such situations and so a much similar navigation method is to be adopted. The optical flow navigation will be best suited for these situations. Optical flow is a technique which is used to determine the motion of the surfaces of the objects in relation to the observer. The use of hardware and power consumption in the optical flow navigation is very much less when compared to other navigational aids and thus it is being developed for micro air vehicles enabling to fly in cluttered environments with high maneuverability fast mapping and very little overall system weight.
UAV’s (Unmanned Aerial Vehicle) in general fly in open space, far from any obstacles and relay on... more UAV’s (Unmanned Aerial Vehicle) in general fly in open space, far from any obstacles and relay on external beacons, mainly GPS (Global Positioning System) to localize them and navigate. This approach precludes them from evolving autonomously at
low altitudes, in cluttered and confined environments. The autonomous flight in these cluttered environments like houses or urban canyons requires high maneuverability, fast
mapping from sensors to actuators and very limited overall system weight. The flying animals are well capable of coping with such situations and so a much similar navigation
method is to be adopted. The optical flow navigation will be best suited for these situations. The optical flow is the pattern of apparent motion of objects, surfaces, and edges in visual
scene caused by the relative motion between the observer and scene. The use of hardware and power consumption in the optical flow navigation is very much less when compared to
other navigational aids and thus it is being developed for micro air vehicles enabling to fly in cluttered environments with high maneuverability fast mapping and very little overall system weight.
This project is solution for the task of autonomous navigation of a UAV through a completely unkn... more This project is solution for the task of autonomous navigation of a UAV through a completely unknown environment by using
solely a single camera and inertial sensors onboard. Many existing solutions suffer from the problem of drift from the
dependency on a clean GPS signal. The novelty in the here-presented approach is to use a monocular simultaneous localization and mapping (SLAM) framework to stabilize the vehicle in six degrees of freedom. This way, we overcome the problem of both the drift and the GPS dependency. The pose estimated by the visual SLAM algorithm is used in a linear optimal controller that allows us to perform all basic maneuvers Such as hovering, set point and trajectory following, vertical takeoff, and landing. All Calculations including SLAM and controller are running in real time and online while the UAV is flying. No offline processing or preprocessing is done. We will show real experiments that demonstrate that the vehicle can fly autonomously in an unknown and unstructured environment.
The Team Recon from India present an indigenously developed
Squadron 2 an autonomous quadcopter d... more The Team Recon from India present an indigenously developed
Squadron 2 an autonomous quadcopter designed for the 7th mission of the AUVSI International Aerial Robotics Competition(IARC).This paper decribes the technical details of a quadrotor system to be used as an aerial robot for interaction with ground robots and demonstrate the mission requirements. The Squadron 2 exhibits the required behaviors
of autonomous flight for interaction with multiple objects on ground to recognize, track and navigate in a sterile environment with no external navigational aids.The objective would be achieved using SURF algorithm running on ARM Processor with depth camera. Autonomous navigation is done by using optical flow with higher resolution and is also used for ground robot recognition and boundary scanning. The instant sensing by aerial robots and interaction between aerial and ground robots would be achieved - by depth sensor and a
custom developed ANN and through the use of effective path based algorithms; also avoid interaction by competing multiple aerial robots but interact only on priority basis.
The main objective of this project is to develop a collision avoidance system in an UAV. Safe nav... more The main objective of this project is to develop a collision avoidance system in an UAV. Safe navigation through corridors plays
a major role in the autonomous use of unmanned aerial vehicle (UAV) in indoor and outdoor environment. Nowadays the use
of aerial vehicles in the indoor environment is getting popularized. The use of aerial vehicles in indoors has a disadvantage of
getting collided with objects. To avoid collision with objects these aerial vehicles are to be installed with a collision avoidance
system. In this project I present an approach for wall collision avoidance using ultrasonic sensors on a quad rotor. An IMU
data is needed for maintaining the stability of the aerial vehicle. The presented approach is designed for safety maneuvering a
UAV through indoor and outdoor corridor.
In the “Aerodynamic performance of wind turbine blade by using high lifting device” described tha... more In the “Aerodynamic performance of wind turbine blade by using high lifting device” described that different velocity flow of air is passing through the wind turbine blade model and analyze through a numerical simulation that the pressure variation occur at that surface of the model. Before we built wind turbine blade in any strong wind blowing region the aerodynamic flow analysis is must for withstand the strong wind affects. In this chapter, basic nature of winds and types, wind affects through the wind turbine blade, formation of internal pressure and atmospheric boundary layer. This project could be done with the help of so many research papers were taken and followed in the literature review. The main tool we used in the project is CFD, so we gave some introduction about the CFD and how it could be used. Then we compared the results at the different models in different angles having with and without flap in 2D and 3D. We didn’t do any practical oriented models just we design the model in Gambit and analyze in the Fluent.
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Papers by RAZEEN RIDHWAN U
low altitudes, in cluttered and confined environments. The autonomous flight in these cluttered environments like houses or urban canyons requires high maneuverability, fast
mapping from sensors to actuators and very limited overall system weight. The flying animals are well capable of coping with such situations and so a much similar navigation
method is to be adopted. The optical flow navigation will be best suited for these situations. The optical flow is the pattern of apparent motion of objects, surfaces, and edges in visual
scene caused by the relative motion between the observer and scene. The use of hardware and power consumption in the optical flow navigation is very much less when compared to
other navigational aids and thus it is being developed for micro air vehicles enabling to fly in cluttered environments with high maneuverability fast mapping and very little overall system weight.
solely a single camera and inertial sensors onboard. Many existing solutions suffer from the problem of drift from the
dependency on a clean GPS signal. The novelty in the here-presented approach is to use a monocular simultaneous localization and mapping (SLAM) framework to stabilize the vehicle in six degrees of freedom. This way, we overcome the problem of both the drift and the GPS dependency. The pose estimated by the visual SLAM algorithm is used in a linear optimal controller that allows us to perform all basic maneuvers Such as hovering, set point and trajectory following, vertical takeoff, and landing. All Calculations including SLAM and controller are running in real time and online while the UAV is flying. No offline processing or preprocessing is done. We will show real experiments that demonstrate that the vehicle can fly autonomously in an unknown and unstructured environment.
Squadron 2 an autonomous quadcopter designed for the 7th mission of the AUVSI International Aerial Robotics Competition(IARC).This paper decribes the technical details of a quadrotor system to be used as an aerial robot for interaction with ground robots and demonstrate the mission requirements. The Squadron 2 exhibits the required behaviors
of autonomous flight for interaction with multiple objects on ground to recognize, track and navigate in a sterile environment with no external navigational aids.The objective would be achieved using SURF algorithm running on ARM Processor with depth camera. Autonomous navigation is done by using optical flow with higher resolution and is also used for ground robot recognition and boundary scanning. The instant sensing by aerial robots and interaction between aerial and ground robots would be achieved - by depth sensor and a
custom developed ANN and through the use of effective path based algorithms; also avoid interaction by competing multiple aerial robots but interact only on priority basis.
a major role in the autonomous use of unmanned aerial vehicle (UAV) in indoor and outdoor environment. Nowadays the use
of aerial vehicles in the indoor environment is getting popularized. The use of aerial vehicles in indoors has a disadvantage of
getting collided with objects. To avoid collision with objects these aerial vehicles are to be installed with a collision avoidance
system. In this project I present an approach for wall collision avoidance using ultrasonic sensors on a quad rotor. An IMU
data is needed for maintaining the stability of the aerial vehicle. The presented approach is designed for safety maneuvering a
UAV through indoor and outdoor corridor.
low altitudes, in cluttered and confined environments. The autonomous flight in these cluttered environments like houses or urban canyons requires high maneuverability, fast
mapping from sensors to actuators and very limited overall system weight. The flying animals are well capable of coping with such situations and so a much similar navigation
method is to be adopted. The optical flow navigation will be best suited for these situations. The optical flow is the pattern of apparent motion of objects, surfaces, and edges in visual
scene caused by the relative motion between the observer and scene. The use of hardware and power consumption in the optical flow navigation is very much less when compared to
other navigational aids and thus it is being developed for micro air vehicles enabling to fly in cluttered environments with high maneuverability fast mapping and very little overall system weight.
solely a single camera and inertial sensors onboard. Many existing solutions suffer from the problem of drift from the
dependency on a clean GPS signal. The novelty in the here-presented approach is to use a monocular simultaneous localization and mapping (SLAM) framework to stabilize the vehicle in six degrees of freedom. This way, we overcome the problem of both the drift and the GPS dependency. The pose estimated by the visual SLAM algorithm is used in a linear optimal controller that allows us to perform all basic maneuvers Such as hovering, set point and trajectory following, vertical takeoff, and landing. All Calculations including SLAM and controller are running in real time and online while the UAV is flying. No offline processing or preprocessing is done. We will show real experiments that demonstrate that the vehicle can fly autonomously in an unknown and unstructured environment.
Squadron 2 an autonomous quadcopter designed for the 7th mission of the AUVSI International Aerial Robotics Competition(IARC).This paper decribes the technical details of a quadrotor system to be used as an aerial robot for interaction with ground robots and demonstrate the mission requirements. The Squadron 2 exhibits the required behaviors
of autonomous flight for interaction with multiple objects on ground to recognize, track and navigate in a sterile environment with no external navigational aids.The objective would be achieved using SURF algorithm running on ARM Processor with depth camera. Autonomous navigation is done by using optical flow with higher resolution and is also used for ground robot recognition and boundary scanning. The instant sensing by aerial robots and interaction between aerial and ground robots would be achieved - by depth sensor and a
custom developed ANN and through the use of effective path based algorithms; also avoid interaction by competing multiple aerial robots but interact only on priority basis.
a major role in the autonomous use of unmanned aerial vehicle (UAV) in indoor and outdoor environment. Nowadays the use
of aerial vehicles in the indoor environment is getting popularized. The use of aerial vehicles in indoors has a disadvantage of
getting collided with objects. To avoid collision with objects these aerial vehicles are to be installed with a collision avoidance
system. In this project I present an approach for wall collision avoidance using ultrasonic sensors on a quad rotor. An IMU
data is needed for maintaining the stability of the aerial vehicle. The presented approach is designed for safety maneuvering a
UAV through indoor and outdoor corridor.