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1. Robust Moving Target Handoff in GPS-Denied Environments

   Tolman, Skyler; Beard, Randy; Morris, T. Devon; Peterson, Cameron K.; Gupta, Riten (June 2021, IEEEASME transactions on mechatronics)

   Unmanned aerial systems (UAS) are effective forsurveillance and monitoring, but struggle with persistent, long-term tracking due to limited flight time. Persistent trackingcan be accomplished using multiple vehicles if one vehiclecan effectively hand off the tracking information to anotherreplacement vehicle. In this paper we propose a solution tothe moving-target handoff problem in the absence of GPS. Theproposed solution uses a nonlinear complimentary filter forself-pose estimation using only an IMU, a particle filter forrelative pose estimation between UAS using a relative rangemeasurement, visual target tracking using a gimballed camerawhen the target is close to the handoff UAS, and track correlationlogic using Procrustes analysis to perform the final target handoffbetween vehicles. We present extensive simulation results thatdemonstrates the effectiveness of our approach and performMonte-Carlo simulations that indicate a 97% successful handoffrate using the proposed methods. 

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2. Realtime mobile bandwidth and handoff predictions in 4G/5G networks

   https://doi.org/10.1016/j.comnet.2021.108736  

   Mei, Lifan; Gou, Jinrui; Cai, Yujin; Cao, Houwei; Liu, Yong (February 2022, Computer Networks)
3. Relative Heading Estimation and Its Application in Target Handoff in GPS-Denied Environments

   https://doi.org/10.1109/TCST.2017.2773027  

   Bai, He; Beard, Randal W. (January 2019, IEEE Transactions on Control Systems Technology)
4. Mixed Reality Technology Capabilities for Combat-Casualty Handoff Training

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   Schubert, Ryan; Bruder, Gerd; Tanaka, Alyssa; Guido-Sanz, Francisco; Welch, Gregory F. (July 2021, Lecture Notes in Computer Science)
5. Efficient service handoff across edge servers via docker container migration

   https://doi.org/10.1145/3132211.3134460  

   Ma, Lele; Yi, Shanhe; Li, Qun (October 2017, ACM/IEEE Symposium on Edge Computing)

   Supporting smooth movement of mobile clients is important when offloading services on an edge computing platform. Interruption free client mobility demands seamless migration of the offloading service to nearby edge servers. However, fast migration of offloading services across edge servers in a WAN environment poses significant challenges to the handoff service design. In this paper, we present a novel service handoff system which seamlessly migrates offloading services to the nearest edge server, while the mobile client is moving. Service handoff is achieved via container migration. We identify an important performance problem during Docker container migration. Based on our systematic study of container layer management and image stacking, we propose a migration method which leverages the layered storage system to reduce file system synchronization overhead, without dependence on the distributed file system. We implement a prototype system and conduct experiments using real world product applications. Evaluation results reveal that compared to state-of-the-art service handoff systems designed for edge computing platforms, our system reduces the total duration of service handoff time by 80% (56%) with network bandwidth 5Mbps (20Mbps). 

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