V-RBNN Based Small Drone Detection in Augmented Datasets for 3D LADAR System

Kim, Byeong Hak; Khan, Danish; Bohak, Ciril; Choi, Wonju; Lee, Hyun Jeong; Kim, Min Young

doi:10.3390/s18113825

Cited by 42 publications

(17 citation statements)

References 26 publications

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“…• Operating altitude: 500-2,000 m [241], [242] • i.e., high-resolution detection is possible • Expensive technology of the acoustic signatures of various UAV models to prevent false alarms due to ambient noise [193]. Alsok's detection system employs acoustic sensors to detect the rotating propellers of UAVs and compare the detected data with the acoustic signatures in a database [194].…”

Section: ) Acoustic/ultrasonic Sensorsmentioning

confidence: 99%

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Protect Your Sky: A Survey of Counter Unmanned Aerial Vehicle Systems

et al. 2020

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Recognizing the various and broad range of applications of unmanned aerial vehicles (UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications, recent un-intentional malfunctions of uncontrollable UAVs or intentional attacks on them divert our attention and motivate us to devise a protection system, referred to as a counter UAV system (CUS). The CUS, also known as a counter-drone system, protects personal, commercial, public, and military facilities and areas from uncontrollable and belligerent UAVs by neutralizing or destroying them. This paper provides a comprehensive survey of the CUS to describe the key technologies of the CUS and provide sufficient information with wich to comprehend this system. The first part starts with an introduction of general UAVs and the concept of the CUS. In the second part, we provide an extensive survey of the CUS through a top-down approach: i) the platform of CUS including ground and sky platforms and related networks; ii) the architecture of the CUS consisting of sensing systems, command-and-control (C2) systems, and mitigation systems; and iii) the devices and functions with the sensors for detection-and-identification and localization-and-tracking actions and mitigators for neutralization. The last part is devoted to a survey of the CUS market with relevant challenges and future visions. From the CUS market survey, potential readers can identify the major players in a CUS industry and obtain information with which to develop the CUS industry. A broad understanding gained from the survey overall will assist with the design of a holistic CUS and inspire cross-domain research across physical layer designs in wireless communications, CUS network designs, control theory, mechanics, and computer science, to enhance counter UAV techniques further.INDEX TERMS Unmanned aerial vehicle (UAV), unmanned aircraft system (UAS), counter UAV system (CUS), counter drone systems, public safety, defense.

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Section: ) Acoustic/ultrasonic Sensorsmentioning

confidence: 99%

“…Li-DAR can provide 3D representations using differences in return times. Therefore, LiDAR can differentiate a target object from a complex background [242]. In one study [241], the authors proposed an algorithm for detecting small UAVs and generating 3D coordinates by employing LiDAR.…”

Section: ) Lidarmentioning

confidence: 99%

Protect Your Sky: A Survey of Counter Unmanned Aerial Vehicle Systems

et al. 2020

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“…The papers can be classified based on sensors’ measurement principles: Triangulation sensor [1,2,3,4], time-of-flight sensor [5,6,7], confocal sensor [8], interferometric sensor [9], fiber Bragg grating sensor [10], and laser Doppler velocimetry [11]. There are also three papers [12,13,14], which are not classified in the above categories.…”

Section: Contributionsmentioning

confidence: 99%

“…In [6], a small drone detection problem using 3D LIDAR is considered. Instead of building a physical system, an augmented dataset is proposed to generate a virtual target considering the laser beam and scanning characteristics.…”

Section: Contributionsmentioning

confidence: 99%

Laser Sensors for Displacement, Distance and Position

Suh

2019

Sensors

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Laser sensors can be used to measure distances to objects and their related parameters (displacements, position, surface profiles and velocities). Laser sensors are based on many different optical techniques, such as triangulation, time-of-flight, confocal and interferometric sensors. As laser sensor technology has improved, the size and cost of sensors have decreased, which has led to the widespread use of laser sensors in many areas. In addition to traditional manufacturing industry applications, laser sensors are increasingly used in robotics, surveillance, autonomous driving and biomedical areas. This paper outlines some of the recent efforts made towards laser sensors for displacement, distance and position.

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“…Far better results could be reached with a time of flight (ToF) distance sensor, which is typically used as a scanning device [12][13][14][15] rang finder [16][17][18] and gesture detection sensor [19]. The used VL53L0X module is capable of capturing distances up to a maximum range of 2 m with a very high accuracy.…”

Section: Combination Of the Sensorsmentioning

confidence: 99%

Development of a Sensor to Measure Physician Consultation Times

Gabl

Stummer

2019

Sensors

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The duration of patient–physician contact is an important factor for the optimisation of treatment processes in healthcare systems. Available methods can be labour-intensive and the quality is, in many cases, poor. A part of this research project is to develop a sensor system, which allows the detection of people passing through a door, including the direction. For this purpose, two time of flight sensors are combined with a door sensor and a motion detection sensor (for redundancy) on one single side of the door frame. The period between two single measurements could be reduced to 50 ms, which allows the measurement of walking speed up to 2 ms − 1 . The accuracy of the time stamp for each event is less than one second and ensures a precise documentation of the consultation time. This paper presents the development of the sensor system, the miniaturisation of the installation and first measurement results, as well as the measurement’s concept of quality analysis, including multiple door applications. In future steps, the sensor system will be deployed at different medical practices to determine the exact duration of the patient–physician interaction over a longer time period.

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V-RBNN Based Small Drone Detection in Augmented Datasets for 3D LADAR System

Cited by 42 publications

References 26 publications

Protect Your Sky: A Survey of Counter Unmanned Aerial Vehicle Systems

Protect Your Sky: A Survey of Counter Unmanned Aerial Vehicle Systems

Laser Sensors for Displacement, Distance and Position

Development of a Sensor to Measure Physician Consultation Times

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