M. A. Hamza, C. Keppitiyagama, K. Zoysa, V. Iyer, Kasun Hewage, T. Voigt
The excellent maneuverability and the availability of a large number of sensors including good quality video cameras make quadcopters attractive for surveillance systems. Most video surveillance systems need a real-time high quality video stream from the cameras on the quadcopter to the base station which requires a stable and reliable radio link. Moreover, to ensure a controlled flight, it is essential to maintain a good quality radio link from the base station to the quad- copter. The quality of this link depends on the distance between base station and quadcopter as well as the ambient noise. Towards this end, we present a controller to hover a quadcopter at the maximum distance from the base station while maintaining the link quality at a given value indicated by the Signal to Noise Ratio (SNR). There are existing solu- tions in the field of robotics that incorporate the concept of link aware mobility. However, to the best of our knowledge, this is the first link-quality aware mobility implementation on a quadcopter.
{"title":"A Quadcopter Controller to Maintain Radio Link Quality","authors":"M. A. Hamza, C. Keppitiyagama, K. Zoysa, V. Iyer, Kasun Hewage, T. Voigt","doi":"10.1145/2750675.2750678","DOIUrl":"https://doi.org/10.1145/2750675.2750678","url":null,"abstract":"The excellent maneuverability and the availability of a large number of sensors including good quality video cameras make quadcopters attractive for surveillance systems. Most video surveillance systems need a real-time high quality video stream from the cameras on the quadcopter to the base station which requires a stable and reliable radio link. Moreover, to ensure a controlled flight, it is essential to maintain a good quality radio link from the base station to the quad- copter. The quality of this link depends on the distance between base station and quadcopter as well as the ambient noise. Towards this end, we present a controller to hover a quadcopter at the maximum distance from the base station while maintaining the link quality at a given value indicated by the Signal to Noise Ratio (SNR). There are existing solu- tions in the field of robotics that incorporate the concept of link aware mobility. However, to the best of our knowledge, this is the first link-quality aware mobility implementation on a quadcopter.","PeriodicalId":233042,"journal":{"name":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133412783","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}
Ramsey Faragher, Oliver R. A. Chick, Daniel T. Wagner, Timothy Goh, James Snee, Brian Jones
Fully autonomous hobbyist drones are typically controlled using bespoke microcontrollers, or general purpose low-level controllers such as the Arduino[1]. However, these devices only have limited compute power and sensing capabilities, and do not easily provide cellular connectivity options. We present Captain Buzz, an Android smartphone app capable of piloting a delta-wing glider autonomously. Captain Buzz can control servos directly via pulse width modulation signals transmitted over the smartphone audio port. Compared with traditional approaches to building an autopilot, Captain Buzz allows users to leverage existing Android libraries for flight attitude determination, provides innovative use-cases, allows users to reprogram their autopilot mid-flight for rapid prototyping, and reduces the cost of building drones.
{"title":"Captain Buzz: An All-Smartphone Autonomous Delta-Wing Drone","authors":"Ramsey Faragher, Oliver R. A. Chick, Daniel T. Wagner, Timothy Goh, James Snee, Brian Jones","doi":"10.1145/2750675.2750682","DOIUrl":"https://doi.org/10.1145/2750675.2750682","url":null,"abstract":"Fully autonomous hobbyist drones are typically controlled using bespoke microcontrollers, or general purpose low-level controllers such as the Arduino[1]. However, these devices only have limited compute power and sensing capabilities, and do not easily provide cellular connectivity options. We present Captain Buzz, an Android smartphone app capable of piloting a delta-wing glider autonomously. Captain Buzz can control servos directly via pulse width modulation signals transmitted over the smartphone audio port. Compared with traditional approaches to building an autopilot, Captain Buzz allows users to leverage existing Android libraries for flight attitude determination, provides innovative use-cases, allows users to reprogram their autopilot mid-flight for rapid prototyping, and reduces the cost of building drones.","PeriodicalId":233042,"journal":{"name":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116231418","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}
Drones, as known as unmanned aerial vehicles (UAV), are aircrafts which can perform autonomous pilot. They can easily reach locations which are too difficult to reach or dangerous for human beings and collect images from bird's-eye view through aerial photography. Enabling drones to identify people on the ground is important for a variety of applications, such as surveillance, people search, and remote monitoring. Since faces are part of inherent identities of people, how well face recognition technologies can be used by drones becomes essential for future development of the above applications. In this paper, we conduct empirical studies to evaluate several factors that may influence the performance of face detection and recognition techniques on drones. Our findings show that the current face recognition technologies are capable of recognizing faces on drones with some limits in distance and angle, especially when drones take pictures in high altitudes and the face image is taken from a long distance and with a large angle of depression. We also find that augmenting face models with 3D information may help to boost recognition performance in the case of large angles of depression.
{"title":"Face Recognition on Drones: Issues and Limitations","authors":"Hwai-Jung Hsu, Kuan-Ta Chen","doi":"10.1145/2750675.2750679","DOIUrl":"https://doi.org/10.1145/2750675.2750679","url":null,"abstract":"Drones, as known as unmanned aerial vehicles (UAV), are aircrafts which can perform autonomous pilot. They can easily reach locations which are too difficult to reach or dangerous for human beings and collect images from bird's-eye view through aerial photography. Enabling drones to identify people on the ground is important for a variety of applications, such as surveillance, people search, and remote monitoring. Since faces are part of inherent identities of people, how well face recognition technologies can be used by drones becomes essential for future development of the above applications. In this paper, we conduct empirical studies to evaluate several factors that may influence the performance of face detection and recognition techniques on drones. Our findings show that the current face recognition technologies are capable of recognizing faces on drones with some limits in distance and angle, especially when drones take pictures in high altitudes and the face image is taken from a long distance and with a large angle of depression. We also find that augmenting face models with 3D information may help to boost recognition performance in the case of large angles of depression.","PeriodicalId":233042,"journal":{"name":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114657923","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":"Session details: DroNet 2015 Keynote","authors":"S. Pollin","doi":"10.1145/3253891","DOIUrl":"https://doi.org/10.1145/3253891","url":null,"abstract":"","PeriodicalId":233042,"journal":{"name":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127292820","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":"Session details: Poster Session","authors":"D. Giustiniano","doi":"10.1145/3253894","DOIUrl":"https://doi.org/10.1145/3253894","url":null,"abstract":"","PeriodicalId":233042,"journal":{"name":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133007422","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":"Session details: Systems and Applications Paper Session","authors":"C. Palazzi","doi":"10.1145/3253893","DOIUrl":"https://doi.org/10.1145/3253893","url":null,"abstract":"","PeriodicalId":233042,"journal":{"name":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129992162","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}
Drones are becoming more and more popular for their possible use in different scenarios, not only outdoor, but even indoor. In this context, indoor self-localization may become crucial and, clearly, GPS is not an option. In this poster we discuss a possible strategy for drone indoor self-localization based on printed markers, drone cameras and software that is generally used for augmented reality purposes. Achieved results from a preliminary experimental campaign demonstrate the effectiveness of the approach with localization errors in the order of 20cm.
{"title":"Drone Indoor Self-Localization","authors":"C. Palazzi","doi":"10.1145/2750675.2750677","DOIUrl":"https://doi.org/10.1145/2750675.2750677","url":null,"abstract":"Drones are becoming more and more popular for their possible use in different scenarios, not only outdoor, but even indoor. In this context, indoor self-localization may become crucial and, clearly, GPS is not an option. In this poster we discuss a possible strategy for drone indoor self-localization based on printed markers, drone cameras and software that is generally used for augmented reality purposes. Achieved results from a preliminary experimental campaign demonstrate the effectiveness of the approach with localization errors in the order of 20cm.","PeriodicalId":233042,"journal":{"name":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114452090","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":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","authors":"","doi":"10.1145/2750675","DOIUrl":"https://doi.org/10.1145/2750675","url":null,"abstract":"","PeriodicalId":233042,"journal":{"name":"Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114730718","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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