Statistical profile generation for traffic monitoring using real-time UAV based video data

Puri, A.; Valavanis, Kimon P.; Kontitsis, Michail

doi:10.1109/med.2007.4433658

Cited by 96 publications

(53 citation statements)

References 2 publications

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“…UAV systems have withal been purposed as stand to audit volcanoes [21]. An instance of the adaptability of Aerial Vehicles is their utilization in traffic auditing [22].…”

Section: Applications Of Uavsmentioning

confidence: 99%

An Overview of Classification, Requirements, Path Planning Algorithms and Improvement Areas of Unmanned Aerial Vehicle

Sharma¹,

Singh²,

Tayal³

2018

IJCA

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The need of Unmanned Aerial Systems (UASs) is expanding day by day as it can be used in both public and military environments. As the need for UAV is growing, there is an expansion inthe requirement for more reliable, authentic, efficient, optimized and strong vehicles that are capable for executing various operations. The need of such systems is mainly by the Militaries that continue to desire more UAV functionalities for diverse operations and tasks that can be performed all over the world. To have a continuous advancement in the field of autonomous UAV control system many cogent research works has been performed. A large amount of work is focused on the subsets of UAS control such as path planning algorithms, control of small UAV and autonomy. As various markets are amplifying, the necessity to have such systems with capability to adapt according to introduced tasks, sensing elements, and surroundings will drive requirements. They can be used in several ways in various models, sizes and types according to the needs of various operations. The most common Unmanned Aerial Vehicle is "drone"that can be operated by remote controllers using radio waves. These UAVs normally contains internal memory and uses battery power as a means to an energy source. In the current scenario, commercial drones are normally subjected to manual control by human that can control only one drone at a point of time. In accordance to set up a controlling system of multiple drones, collision avoidance mechanism and the detection of objects around these UAV systems is very necessary. This paper discusses about the UAVs requirements and capabilities along with path planning algorithms. It also provides some problems associated with a UAV system along with its improvement areas. KeywordsUnmanned Aerial System (UAS),autonomous systems, Unmanned Aerial Vehicle(UAV), Drone, path planning algorithms.

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“…UAV systems have withal been purposed as stand to audit volcanoes [21]. An instance of the adaptability of Aerial Vehicles is their utilization in traffic auditing [22].…”

Section: Applications Of Uavsmentioning

confidence: 99%

An Overview of Classification, Requirements, Path Planning Algorithms and Improvement Areas of Unmanned Aerial Vehicle

Sharma¹,

Singh²,

Tayal³

2018

IJCA

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“…It is widely used in motionbased recognition 1 , automated surveillance, humancomputer interaction 2 , vehicle navigation and traffic monitoring 3 . Object description mainly depends on the image resolution and available computational resources.…”

Section: Introductionmentioning

confidence: 99%

Model Update Particle Filter for Multiple Objects Detection and Tracking

Zhao¹,

Pei²

2012

IJCIS

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Multiple objects tracking is a challenging task. This article presents an algorithm which can detect and track multiple objects, and update target model automatically. The contributions of this paper as follow: Firstly,we also use color histogram(CH) and histogram of orientated gradients(HOG) to represent the objects, model update is realized by kalman filter and gaussian model; secondly we use Gaussian Mixture Model(GMM) and Bhattacharyya distance to detect object appearance. Particle filter with combined features and model update mechanism can improve tracking results. Experiments on video sequences demonstrate that the method presented in this paper can realize multiple objects detection and tracking.

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“…There are different visual algorithms tackling these problems on UAVs, some of which are presented in Campoy et al (2008). Currently, some applications have been developed, including Valavanis' work on traffic monitoring (Puri et al 2007), and fire detection (Nikolos et al 2004) and work in obstacles avoidance and path planning for UAVs by Hrabar and Sukhatme (2009).…”

Section: Introductionmentioning

confidence: 99%

Unmanned aerial vehicles UAVs attitude, height, motion estimation and control using visual systems

Mondragón¹,

Olivares-Méndez²,

Campoy³

et al. 2010

Auton Robot

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This paper presents an implementation of an aircraft pose and motion estimator using visual systems as the principal sensor for controlling an Unmanned Aerial Vehicle (UAV) or as a redundant system for an Inertial Measure Unit (IMU) and gyros sensors. First, we explore the applications of the unified theory for central catadioptric cameras for attitude and heading estimation, explaining how the skyline is projected on the catadioptric image and how it is segmented and used to calculate the UAV's attitude. Then we use appearance images to obtain a visual compass, and we calculate the relative rotation and heading of the aerial vehicle. Additionally, we show the use of a stereo system to calculate the aircraft height and to measure the UAV's motion. Finally, we present a visual tracking system based on Fuzzy controllers working in both a UAV and a camera pan and tilt platform. Every part is tested using the UAV COL-IBRI platform to validate the different approaches, which include comparison of the estimated data with the inertial values measured onboard the helicopter platform and the validation of the tracking schemes on real flights.

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Statistical profile generation for traffic monitoring using real-time UAV based video data

Cited by 96 publications

References 2 publications

An Overview of Classification, Requirements, Path Planning Algorithms and Improvement Areas of Unmanned Aerial Vehicle

An Overview of Classification, Requirements, Path Planning Algorithms and Improvement Areas of Unmanned Aerial Vehicle

Model Update Particle Filter for Multiple Objects Detection and Tracking

Unmanned aerial vehicles UAVs attitude, height, motion estimation and control using visual systems

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