Line-of-sight (LOS) establishment is a significant part of the neighbor discovery process for an ad-hoc network with highly directional antennas/transceivers. And, this problem of establishing LOS between neighbor nodes become even more challenging when they have no a priori information about each other's location. In this paper, we present a heuristic for LOS neighbor discovery between two drones capable of scanning the 3D space around them using highly directional transceivers. The drones can mechanically steer their respective transceivers with randomly chosen angular speeds on arbitrary circular paths and perform a simple three-way handshake to discover each other. They change the circular scanning paths and angular speeds if the discovery is not successful within an optimal time interval. Through extensive simulations, we demonstrate that using such mechanically steerable highly directional transceivers, two neighbor drones can discover each other successfully even without prior location information about each other and without any omnidirectional out-of-band channel to exchange information with each other.
{"title":"In-Band LOS Discovery Between Drones Using Highly Directional Transceivers","authors":"M. Khan, M. Yuksel","doi":"10.1145/3213526.3213536","DOIUrl":"https://doi.org/10.1145/3213526.3213536","url":null,"abstract":"Line-of-sight (LOS) establishment is a significant part of the neighbor discovery process for an ad-hoc network with highly directional antennas/transceivers. And, this problem of establishing LOS between neighbor nodes become even more challenging when they have no a priori information about each other's location. In this paper, we present a heuristic for LOS neighbor discovery between two drones capable of scanning the 3D space around them using highly directional transceivers. The drones can mechanically steer their respective transceivers with randomly chosen angular speeds on arbitrary circular paths and perform a simple three-way handshake to discover each other. They change the circular scanning paths and angular speeds if the discovery is not successful within an optimal time interval. Through extensive simulations, we demonstrate that using such mechanically steerable highly directional transceivers, two neighbor drones can discover each other successfully even without prior location information about each other and without any omnidirectional out-of-band channel to exchange information with each other.","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131984931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, a new and novel approach called (Unmanned Areal Vehicle) UAV-Direct is proposed, where the UAV helps in optimizing the bandwidth and power allocations of Device-to-Device (D2D) communication. In addition to that, the UAV can play the role of a relay if needed to maintain the communication links between the devices that are out of communication ranges of each other. We design a UAV-Direct protocol to manage the resource allocations to improve the system throughput. We formulate an optimization problem that maximizes the minimum device throughput while satisfying resource allocation constraints. Since the formulated optimization problem is non-convex, we propose to solve this problem in two steps. In the first step, a Taylor series successive convex approximation solution is proposed to optimize the resource allocations. Then, we propose an efficient algorithm based on a recursive shrink-and-realign process to optimize the UAV trajectory.
{"title":"UAV-Direct: Facilitating D2D Communications for Dynamic and Infrastructure-less Networking","authors":"Ahmad Alsharoa, M. Yuksel","doi":"10.1145/3213526.3213537","DOIUrl":"https://doi.org/10.1145/3213526.3213537","url":null,"abstract":"In this paper, a new and novel approach called (Unmanned Areal Vehicle) UAV-Direct is proposed, where the UAV helps in optimizing the bandwidth and power allocations of Device-to-Device (D2D) communication. In addition to that, the UAV can play the role of a relay if needed to maintain the communication links between the devices that are out of communication ranges of each other. We design a UAV-Direct protocol to manage the resource allocations to improve the system throughput. We formulate an optimization problem that maximizes the minimum device throughput while satisfying resource allocation constraints. Since the formulated optimization problem is non-convex, we propose to solve this problem in two steps. In the first step, a Taylor series successive convex approximation solution is proposed to optimize the resource allocations. Then, we propose an efficient algorithm based on a recursive shrink-and-realign process to optimize the UAV trajectory.","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114286044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many efforts are being done in order to recognize and forecast the occurrence of a natural disaster, in order to react in an efficient manner to the disaster in course of happening, and to quickly and efficiently assess the damage, fix and restore normal state [2–6]. Large-scale natural disasters test the most fundamental human instinct of survival by inflicting massive, and often unpredictable loss to life and property. Various types of natural disasters have been classified in [1] according to the technology that can be used to respond to them: geophysical (earthquake, tsunami, volcano, landslide, avalanche), hydrological (flash-floods, debris flow, floods), climatological (extreme temperature, drought, wildfire) andmeteorological (tropical storm, hurricane, sandstorm, heavy rainfall), among others, have caused losses of many lives in addition to increase in material losses in the order of 100% – 150% over the period of last 30 years [7]. Acknowledging the need for bolstering disaster resilience, this paper contributes a vision of leveraging the latest advances in wireless sensor network (WSN) technology and unmanned aerial vehicles (UAVs) to enhance the ability of network-assisted disaster prediction, assessment and response. Around 47% of the overall losses and 45% of the insured losses derived from inland flooding that occurred in Europe, Canada, Asia and Australia. Altogether, at around US$ 45bn, losses from natural catastrophes were below the average amount for the past ten years (US$ 85bn). Insured losses totaled approximately US$ 13bn. Thus, in this paper, we will focus our attention on inland flooding events, and a special emphasis will be given at mobility schemes for UAVs coverage [9].
{"title":"Drones, Smartphones and Sensors to Face Natural Disasters","authors":"Milan Erdelj, E. Natalizio","doi":"10.1145/3213526.3213541","DOIUrl":"https://doi.org/10.1145/3213526.3213541","url":null,"abstract":"Many efforts are being done in order to recognize and forecast the occurrence of a natural disaster, in order to react in an efficient manner to the disaster in course of happening, and to quickly and efficiently assess the damage, fix and restore normal state [2–6]. Large-scale natural disasters test the most fundamental human instinct of survival by inflicting massive, and often unpredictable loss to life and property. Various types of natural disasters have been classified in [1] according to the technology that can be used to respond to them: geophysical (earthquake, tsunami, volcano, landslide, avalanche), hydrological (flash-floods, debris flow, floods), climatological (extreme temperature, drought, wildfire) andmeteorological (tropical storm, hurricane, sandstorm, heavy rainfall), among others, have caused losses of many lives in addition to increase in material losses in the order of 100% – 150% over the period of last 30 years [7]. Acknowledging the need for bolstering disaster resilience, this paper contributes a vision of leveraging the latest advances in wireless sensor network (WSN) technology and unmanned aerial vehicles (UAVs) to enhance the ability of network-assisted disaster prediction, assessment and response. Around 47% of the overall losses and 45% of the insured losses derived from inland flooding that occurred in Europe, Canada, Asia and Australia. Altogether, at around US$ 45bn, losses from natural catastrophes were below the average amount for the past ten years (US$ 85bn). Insured losses totaled approximately US$ 13bn. Thus, in this paper, we will focus our attention on inland flooding events, and a special emphasis will be given at mobility schemes for UAVs coverage [9].","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130003422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Montanari, Fredrika Kringberg, A. Valentini, C. Mascolo, A. Prorok
Developing regions are often characterized by large areas that are poorly reachable or explored. The mapping of these regions and the census of roaming populations in these areas are often difficult and sporadic. In this paper we put forward an approach to aid area surveying which relies on autonomous drone mobility. In particular we illustrate the two main components of the approach. An efficient on-device object detection component, built on Convolutional Neural Networks, capable of detecting human settlements and animals on the ground with acceptable performance (latency and accuracy) and a path planning component, informed by the object identification module, which exploits Artificial Potential Fields to dynamically adapt the flight in order to gather useful information of the environment, while keeping optimal flight paths. We report some initial performance results of the on board visual perception module and describe our experimental platform based on a fixed-wing aircraft.
{"title":"Surveying Areas in Developing Regions Through Context Aware Drone Mobility","authors":"A. Montanari, Fredrika Kringberg, A. Valentini, C. Mascolo, A. Prorok","doi":"10.1145/3213526.3213532","DOIUrl":"https://doi.org/10.1145/3213526.3213532","url":null,"abstract":"Developing regions are often characterized by large areas that are poorly reachable or explored. The mapping of these regions and the census of roaming populations in these areas are often difficult and sporadic. In this paper we put forward an approach to aid area surveying which relies on autonomous drone mobility. In particular we illustrate the two main components of the approach. An efficient on-device object detection component, built on Convolutional Neural Networks, capable of detecting human settlements and animals on the ground with acceptable performance (latency and accuracy) and a path planning component, informed by the object identification module, which exploits Artificial Potential Fields to dynamically adapt the flight in order to gather useful information of the environment, while keeping optimal flight paths. We report some initial performance results of the on board visual perception module and describe our experimental platform based on a fixed-wing aircraft.","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114402785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
It takes movie camera operators years of professional training to follow an object in an aesthetically pleasing way, both by classical means (boom, slider) and by drones. As this complex task requires a high workload and situation awareness while controlling the camera, an uncluttered and efficient user interface (UI) is preferred. The emergence of mobile devices and motion control devices incorporating automation made touch-based UIs attractive to operators. Much work has already been done on UI adaptation strategies. However, little work is trying to solve the problem of combining manual control and automation within a UI. Especially with a central premise of minimising occlusion and visual clutter in a cinematic context. We, therefore, conducted a first user study (N=15) to evaluate different design alternatives regarding occlusion and preference. Afterwards, we created a functional prototype of the most promising design. To further reduce the occlusion we applied a progressive reduction adaption strategy. We evaluated the influence of different reduction levels on workload, control, creativity support and precision in a second user study (N=24). While we could reduce the clutter, due to our design decisions we found no negative effects affecting the measured variables.
{"title":"Axis- plus Content-based Control for Camera Drones: Design and Evaluation of User Interface Concepts","authors":"Andreas Ellwanger, Axel Hoesl, A. Butz","doi":"10.1145/3213526.3213529","DOIUrl":"https://doi.org/10.1145/3213526.3213529","url":null,"abstract":"It takes movie camera operators years of professional training to follow an object in an aesthetically pleasing way, both by classical means (boom, slider) and by drones. As this complex task requires a high workload and situation awareness while controlling the camera, an uncluttered and efficient user interface (UI) is preferred. The emergence of mobile devices and motion control devices incorporating automation made touch-based UIs attractive to operators. Much work has already been done on UI adaptation strategies. However, little work is trying to solve the problem of combining manual control and automation within a UI. Especially with a central premise of minimising occlusion and visual clutter in a cinematic context. We, therefore, conducted a first user study (N=15) to evaluate different design alternatives regarding occlusion and preference. Afterwards, we created a functional prototype of the most promising design. To further reduce the occlusion we applied a progressive reduction adaption strategy. We evaluated the influence of different reduction levels on workload, control, creativity support and precision in a second user study (N=24). While we could reduce the clutter, due to our design decisions we found no negative effects affecting the measured variables.","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andra M. Voicu, Bernd Rörick, L. Simić, P. Mähönen
With the recent proliferation of unmanned aerial vehicles (UAVs), it is unclear what the impact is of interference from UAVs to ground deployments. In this paper we present a study of the interference from UAV transmitters to victim ground receivers operating in LTE and Wi-Fi bands, for a real large-scale scenario in Manhattan. We perform extensive propagation simulations in WinProp for a large number of transmitters and outdoor and indoor receivers at different locations. Our results suggest that outdoor LTE receivers could suffer from harmful interference, which has potential future regulatory implications. By contrast, outdoor Wi-Fi receivers, and indoor LTE and Wi-Fi receivers are less likely to be affected by harmful interference from UAVs.
{"title":"Do Unmanned Aerial Vehicles Cause Harmful Interference to Ground Wireless Network Deployments?","authors":"Andra M. Voicu, Bernd Rörick, L. Simić, P. Mähönen","doi":"10.1145/3213526.3213528","DOIUrl":"https://doi.org/10.1145/3213526.3213528","url":null,"abstract":"With the recent proliferation of unmanned aerial vehicles (UAVs), it is unclear what the impact is of interference from UAVs to ground deployments. In this paper we present a study of the interference from UAV transmitters to victim ground receivers operating in LTE and Wi-Fi bands, for a real large-scale scenario in Manhattan. We perform extensive propagation simulations in WinProp for a large number of transmitters and outdoor and indoor receivers at different locations. Our results suggest that outdoor LTE receivers could suffer from harmful interference, which has potential future regulatory implications. By contrast, outdoor Wi-Fi receivers, and indoor LTE and Wi-Fi receivers are less likely to be affected by harmful interference from UAVs.","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128620519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Health Monitoring (SHM) is a key troubleshooting methodology for assessing the working condition and health of (manned or unmanned) aerial vehicles; however, its understanding with respect to the multi-rotor class of Micro Aerial Vehicles (MAV) is limited. The portentous structural failure sources, in this case, are the two moving components: motors and propellers. In this paper, we undertake a detailed exercise of characterizing the common and frequent faults of these units using multi-modal sensing of vibration, acoustic noise, input power, and thrust profiles; and then use relevant features to perform a two-level diagnosis. Through our empirical fault studies on our custom designed test rig, we propose a set of befitting features in each sensory domain; which result in high fault detection and classification accuracy that exceeds 90%.
{"title":"Structural Health Monitoring of Multi-Rotor Micro Aerial Vehicles","authors":"P. Misra, Gopi Kandaswamy, Pragyan Mohapatra, Kriti Kumar Balamuralidhar, Prasant Misra Gopi Kandaswamy, Kriti Kumar","doi":"10.1145/3213526.3213531","DOIUrl":"https://doi.org/10.1145/3213526.3213531","url":null,"abstract":"Structural Health Monitoring (SHM) is a key troubleshooting methodology for assessing the working condition and health of (manned or unmanned) aerial vehicles; however, its understanding with respect to the multi-rotor class of Micro Aerial Vehicles (MAV) is limited. The portentous structural failure sources, in this case, are the two moving components: motors and propellers. In this paper, we undertake a detailed exercise of characterizing the common and frequent faults of these units using multi-modal sensing of vibration, acoustic noise, input power, and thrust profiles; and then use relevant features to perform a two-level diagnosis. Through our empirical fault studies on our custom designed test rig, we propose a set of befitting features in each sensory domain; which result in high fault detection and classification accuracy that exceeds 90%.","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114436885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gaze interaction holds a lot of promise for seamless human-computer interaction. At the same time, current wearable mobile eye trackers require user augmentation that negatively impacts natural user behavior while remote trackers require users to position themselves within a confined tracking range. We present GazeDrone, the first system that combines a camera-equipped aerial drone with a computational method to detect sidelong glances for spontaneous (calibration-free) gaze-based interaction with surrounding pervasive systems (e.g., public displays). GazeDrone does not require augmenting each user with on-body sensors and allows interaction from arbitrary positions, even while moving. We demonstrate that drone-supported gaze interaction is feasible and accurate for certain movement types. It is well-perceived by users, in particular while interacting from a fixed position as well as while moving orthogonally or diagonally to a display. We present design implications and discuss opportunities and challenges for drone-supported gaze interaction in public.
{"title":"GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User","authors":"M. Khamis, Anna Kienle, Florian Alt, A. Bulling","doi":"10.1145/3213526.3213539","DOIUrl":"https://doi.org/10.1145/3213526.3213539","url":null,"abstract":"Gaze interaction holds a lot of promise for seamless human-computer interaction. At the same time, current wearable mobile eye trackers require user augmentation that negatively impacts natural user behavior while remote trackers require users to position themselves within a confined tracking range. We present GazeDrone, the first system that combines a camera-equipped aerial drone with a computational method to detect sidelong glances for spontaneous (calibration-free) gaze-based interaction with surrounding pervasive systems (e.g., public displays). GazeDrone does not require augmenting each user with on-body sensors and allows interaction from arbitrary positions, even while moving. We demonstrate that drone-supported gaze interaction is feasible and accurate for certain movement types. It is well-perceived by users, in particular while interacting from a fixed position as well as while moving orthogonally or diagonally to a display. We present design implications and discuss opportunities and challenges for drone-supported gaze interaction in public.","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127718834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Graph-theoretic approach for UAV-aided network connectivity","authors":"S. Waharte, A. Trigoni","doi":"10.1145/3213526.3213542","DOIUrl":"https://doi.org/10.1145/3213526.3213542","url":null,"abstract":"","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113966180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher-Eyk Hrabia, Axel Heßler, Yuan Xu, Jan Brehmer, S. Albayrak
The number of unmanned aerial system (UAS) applications for supporting rescue forces is growing in recent years. The analysis of sensed information and control of the UAV creates an enormous psychological and emotional load for the involved humans especially in critical and hectic situations. To enable a mission-guided application of drones and reduce the load of manual control and analysis, the research project EffFeu (Efficient Operation of Unmanned Aerial Vehicle for Industrial Fire Fighters) aims for a holistic integration of UAS in the daily work of industrial fire fighters in particular. This work presents the current stage of the project including the overall system architecture and first results of the project research topics: high-level task control of UAV, localisation and navigation in the transition of indoor and outdoor environments, and objects and situation recognition.
{"title":"EffFeu project: Efficient Operation of Unmanned Aerial Vehicles for Industrial Fire Fighters","authors":"Christopher-Eyk Hrabia, Axel Heßler, Yuan Xu, Jan Brehmer, S. Albayrak","doi":"10.1145/3213526.3213533","DOIUrl":"https://doi.org/10.1145/3213526.3213533","url":null,"abstract":"The number of unmanned aerial system (UAS) applications for supporting rescue forces is growing in recent years. The analysis of sensed information and control of the UAV creates an enormous psychological and emotional load for the involved humans especially in critical and hectic situations. To enable a mission-guided application of drones and reduce the load of manual control and analysis, the research project EffFeu (Efficient Operation of Unmanned Aerial Vehicle for Industrial Fire Fighters) aims for a holistic integration of UAS in the daily work of industrial fire fighters in particular. This work presents the current stage of the project including the overall system architecture and first results of the project research topics: high-level task control of UAV, localisation and navigation in the transition of indoor and outdoor environments, and objects and situation recognition.","PeriodicalId":237910,"journal":{"name":"Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129699708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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