A Real-time AIS Data Computing Platform Based on Flink

Author(s):  
Taizhi Lv ◽  
Jun Zhang ◽  
YingYing Chen ◽  
Chenyong He
Keyword(s):  
2020 ◽  
Author(s):  
Krzysztof Blachut ◽  
Hubert Szolc ◽  
Mateusz Wasala ◽  
Tomasz Kryjak ◽  
Marek Gorgon

In this paper we present a vision based hardware-software control system enabling autonomous landing of a mul-tirotor unmanned aerial vehicle (UAV). It allows the detection of a marked landing pad in real-time for a 1280 x 720 @ 60 fps video stream. In addition, a LiDAR sensor is used to measure the altitude above ground. A heterogeneous Zynq SoC device is used as the computing platform. The solution was tested on a number of sequences and the landing pad was detected with 96% accuracy. This research shows that a reprogrammable heterogeneous computing system is a good solution for UAVs because it enables real-time data stream processing with relatively low energy consumption.


Computer ◽  
1995 ◽  
Vol 28 (2) ◽  
pp. 16-25 ◽  
Author(s):  
P.M. Athanas ◽  
A.L. Abbott

2021 ◽  
Vol 2065 (1) ◽  
pp. 012020
Author(s):  
Nver Ren ◽  
Rong Jiang ◽  
Dongze Zhang

Abstract An cloud computing platform based on B/S architecture and docker container technology for autonomous driving simulation has been established in this paper. The map editor module of the cloud platform lets users design 3D scenes for simulating and testing automated driving systems. When the customized roadway scene for simulation created, it would be saved as OpenDrive format both for the server of cloud platform and CarMaker’s TestRun which all parameters of the virtual environment (vehicle, road, tires, etc.) are sufficiently defined. Then, based on the application online (APO) communication protocol of CarMaker, the local APO agent service was created. When the 27 parameters of vehicle dynamics received from CarMaker server, they were sent to the cloud platform in real time through UPD protocol. The process of data communication is completed by APO agent. Through the work above, a co-simulation between cloud platform and CarMaker could be successfully established for autonomous driving with seventeen-degree-of-freedom. Through the co-simulation experiment, it is found that the real-time data sampling frequency of the co-simulation is 70Hz, which completes the synchronous simulation of carmaker and cloud platform.


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