{"id":1,"date":"2023-05-01T17:48:50","date_gmt":"2023-05-01T17:48:50","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/f23team17\/?p=1"},"modified":"2023-05-05T19:13:19","modified_gmt":"2023-05-05T19:13:19","slug":"hello-world","status":"publish","type":"post","link":"https:\/\/mscvprojects.ri.cmu.edu\/f23team17\/2023\/05\/01\/hello-world\/","title":{"rendered":""},"content":{"rendered":"\n
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\"\"<\/figure>\n\n\n\n

SEMANTIC 3D MAPPING<\/mark><\/h1>\n<\/div><\/div>\n\n\n\n

We plan to develop a real-time system deployed on a drone that is capable of estimating the depth of its environment. The drone would have a six fisheye lens camera setup. The six fisheye images would be stitched together to get a panorama image representing the top, down, bottom, left, and right sides of the environment. The model\/system would then predict a depth for each pixel of this stitched image.<\/p>\n\n\n\n

Holonomic robots such as drones have six degrees of freedom and thus, can move in all directions. Human drivers, too, rely on a wider field of view rather than just looking forward to making decisions. In the case of autonomous vehicles and self-driving cars, a LIDAR helps overcome this. However, we want a LIDAR-free system.<\/p>\n\n\n\n

Welcome to MSCV Projects Sites<\/a>. This is your first post. Edit or delsdsadasadasdsadasdasdsdasdsadete it, then start blogging!sadsasdsd<\/p>\n","protected":false},"excerpt":{"rendered":"

SEMANTIC 3D MAPPING We plan to develop a real-time system deployed on a drone that is capable of estimating the depth of its environment. The drone would have a six fisheye lens camera setup. The six fisheye images would be stitched together to get a panorama image representing the top, down, bottom, left, and right … <\/p>\n

Continue reading “”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n- Semantic 3D MAPPING<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mscvprojects.ri.cmu.edu\/f23team17\/2023\/05\/01\/hello-world\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"- Semantic 3D MAPPING\" \/>\n<meta property=\"og:description\" content=\"SEMANTIC 3D MAPPING We plan to develop a real-time system deployed on a drone that is capable of estimating the depth of its environment. 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