Artificial Intelligence
Obstacle avoidance methodologies seldom work under assumption or limitation of other obstacel implying similar collision averting protocol. Furthermore, prerequisite of having perfect sensing and having central communciation are also needed in order to safely navigate witout collision. A novel obstacle avoidance method of FLC-ORCA is initiated in an attemp to fill in the void within obstacle avoidance. The proposed method is compared with other state-of-the-art tecniques such as Improved A-Star and Directional ORCA.
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A novel FLC-ORCA obstaclea avoidance method is compared with other state-of-the-art techniques of Improved A-Star and Directional ORCA. The SLAM navigation recording are shown with comparable analysis of time taken, navigation path, rerouting occurance, and stoppage occurance. The obstacles are consist of static, dynamic and intelligent entity state of nature.
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中国 Municipal Panel Data
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We constructed datasets by extracting different features from Android Apk files, including permissions (official definition and customization), APIs and vulnerabilities. The datasets can be used for malware detection.
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241 Views
Blast furnace iron-making process (BFIP) is one of the most critical procedures in the iron and steel industry, in which timely detection and accurate classification of faults have always been of core focus. Nevertheless, due to the coupling effects of complex nonlinear and nonstationary characteristics hidden among the data, the consistent underlying information in the process cannot be accurately mined, hindering the establishment of the BFIP fault diagnosis model.
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108 Views
The C3I Synthetic Human Dataset provides 48 female and 84 male synthetic 3D humans in fbx format generated from iClone 7 Character creator “Realistic Human 100” toolkit with variations in ethnicity, gender, race, age, and clothing. For each of these, it further provides the full-body model with five different facial expressions – Neutral, Angry, Sad, Happy, and Scared. Along with the body models, it also open-sources a data generation pipeline written in python to bring those models into a 3D Computer Graphics tool called Blender.
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670 Views
Data for neural networks.
Magnetic flux intensity - input
The real pose of a single magnet - output
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189 Views
Code example for Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning
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Dataset for segmentation of the defects on the surfaces of the military cartridge cases. The datasets with non-defective, defective and masked image classes of the defective cartridge cases.
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363 Views
The picture shows the operation result of image security retrieval. The experiment was validated on five common data sets.
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146 Views