UAV-Based Traffic Analysis: A Universal Guiding Framework Based on Literature Survey

Khan, Muhammad Arsalan; Ectors, Wim; Bellemans, Tom; Janssens, Davy; Wets, Geert

doi:10.1016/j.trpro.2017.03.043

Cited by 97 publications

(69 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We find several other applications in sports [34]; search and rescue; identification of victims [35]; monitoring, analysis, and management of road traffic [36]; or for monitoring pedestrian behavior and accident prevention [37]. Low-cost drones with a camera on board have been used for public health purposes by detecting water spots to reveal mosquito breading areas responsible for malaria [38,39].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of the Legislation Evolution for Drone Use in OECD Countries

Tsiamis

Efthymiou

Tsagarakis

2019

Drones

View full text Add to dashboard Cite

Drones have been employed for multiple uses, such as for military, surveillance, recreational, scientific, and research purposes. Their presence inside civil areas has necessitated the need to regulate their use. Towards this direction, many countries worldwide have issued national legislations, which vary on vehicle categorization according to the size, weight, flight altitude, purpose of use, and restrictions. In this study, we pursued the first comparative analysis of the Organization for Economic Co-operation and Development (OECD) countries’ national legislations, in order to explore the similarities and differences in drone use and recommend improvements and homogenization. Some of the examined countries issued legislation during recent years of drone application, while others amended their existing legislative framework in order to catch up with drone technology evolution. Although from the 35 OECD countries 22 belong to the European Union, we observed much diversity among national legal frameworks. The intensive use of drones has led to severe ethical dilemmas that policy makers will need to address in the near future. We conclude with a proposal regarding the basic legislation for different uses according to the criteria that have been developed so far, followed by limitations and restrictions.

show abstract

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of the Legislation Evolution for Drone Use in OECD Countries

Tsiamis

Efthymiou

Tsagarakis

2019

Drones

View full text Add to dashboard Cite

show abstract

“…Spatial evaluation can be understood as evaluating the trajectory of a vehicle at a junction or node. In most cases, sensors and cameras only capture the vehicle's entrance, but not the entire monitored area [3,17].…”

Section: Results and Discussion -Possibilities Of Using Smart Elementsmentioning

confidence: 99%

“…Advantages and disadvantages of using drones in transport are compared in Tab. 2 [17]. Table 2 Advantages and disadvantages of using drones.…”

Section: Application Of Uav Platform For Traffic Monitoringmentioning

confidence: 99%

See 1 more Smart Citation

The Use of Smart Elements for the Transport Operation in the Slovak Cities

Bubelíny

Ďaďová

Kubina

et al. 2019

LOGI – Scientific Journal on Transport and Logistics

View full text Add to dashboard Cite

The possibilities of expanding the transport infrastructure in cities are considerably limited, as urban areas of the municipalities are built-up. The current infrastructure is no longer sufficient to meet standard transport needs in cities, as there has been a growing trend in recent years for both manufactured and sold vehicles. The reason that vehicles are manufactured is the high demand for the purchase of these vehicles, which clearly reflects the subsequent trend of the traveling public using individual transport modes. In individual chapters, this article evaluates the simultaneous use of intelligent transport systems in the Slovak cities and, at the same time, points out further possibilities of SMART elements implementation in transport, which can ensure more efficient transport processes in agglomerations. Given the circumstances that transport infrastructure is no longer sufficient and the vehicles are stationary, which has adverse effects on arrival time as well as on the environment and the quality of life in the cities, the manuscript deals with this issue in particular.

show abstract

“…Unmanned aerial vehicles (UAVs) are popularly applied in a large variety of remote sensing and monitoring applications in both civil and military contexts [1][2][3]. Intelligent transportation and traffic monitoring are found to be among the applications, where UAVs are receiving increasing interest [4][5][6][7]. Data for traffic monitoring and analysis can be collected by various sensors, such as lidar, radar, and video cameras.…”

Section: Introductionmentioning

confidence: 99%

Orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos

2019

View full text Add to dashboard Cite

Along with the advancement of light-weight sensing and processing technologies, unmanned aerial vehicles (UAVs) have recently become popular platforms for intelligent traffic monitoring and control. UAV-mounted cameras can capture traffic-flow videos from various perspectives providing a comprehensive insight into road conditions. To analyze the traffic flow from remotely captured videos, a reliable and accurate vehicle detection-and-tracking approach is required. In this paper, we propose a deep-learning framework for vehicle detection and tracking from UAV videos for monitoring traffic flow in complex road structures. This approach is designed to be invariant to significant orientation and scale variations in the videos. The detection procedure is performed by fine-tuning a state-of-the-art object detector, You Only Look Once (YOLOv3), using several custom-labeled traffic datasets. Vehicle tracking is conducted following a tracking-by-detection paradigm, where deep appearance features are used for vehicle re-identification, and Kalman filtering is used for motion estimation. The proposed methodology is tested on a variety of real videos collected by UAVs under various conditions, e.g., in late afternoons with long vehicle shadows, in dawn with vehicles lights being on, over roundabouts and interchange roads where vehicle directions change considerably, and from various viewpoints where vehicles’ appearance undergo substantial perspective distortions. The proposed tracking-by-detection approach performs efficiently at 11 frames per second on color videos of 2720p resolution. Experiments demonstrated that high detection accuracy could be achieved with an average F1-score of 92.1%. Besides, the tracking technique performs accurately, with an average multiple-object tracking accuracy (MOTA) of 81.3%. The proposed approach also addressed the shortcomings of the state-of-the-art in multi-object tracking regarding frequent identity switching, resulting in a total of only one identity switch over every 305 tracked vehicles.

show abstract

UAV-Based Traffic Analysis: A Universal Guiding Framework Based on Literature Survey

Cited by 97 publications

References 13 publications

A Comparative Analysis of the Legislation Evolution for Drone Use in OECD Countries

A Comparative Analysis of the Legislation Evolution for Drone Use in OECD Countries

The Use of Smart Elements for the Transport Operation in the Slovak Cities

Orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos

Contact Info

Product

Resources

About