{"action":"created","issue":{"url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/issues/13","repository_url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC","labels_url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/issues/13/labels{/name}","comments_url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/issues/13/comments","events_url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/issues/13/events","html_url":"https://github.com/OSSDC/OSSDC-VisionBasedACC/issues/13","id":296158352,"number":13,"title":"Datasets from mono and stereo cameras","user":{"login":"mslavescu","id":461669,"avatar_url":"https://avatars3.githubusercontent.com/u/461669?v=4","gravatar_id":"","url":"https://api.github.com/users/mslavescu","html_url":"https://github.com/mslavescu","followers_url":"https://api.github.com/users/mslavescu/followers","following_url":"https://api.github.com/users/mslavescu/following{/other_user}","gists_url":"https://api.github.com/users/mslavescu/gists{/gist_id}","starred_url":"https://api.github.com/users/mslavescu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mslavescu/subscriptions","organizations_url":"https://api.github.com/users/mslavescu/orgs","repos_url":"https://api.github.com/users/mslavescu/repos","events_url":"https://api.github.com/users/mslavescu/events{/privacy}","received_events_url":"https://api.github.com/users/mslavescu/received_events","type":"User","site_admin":false},"labels":[{"id":824954296,"url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/labels/%231-mvp-vbacc","name":"#1-mvp-vbacc","color":"fce174","default":false},{"id":825820619,"url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/labels/%233-mvp-smart-camera","name":"#3-mvp-smart-camera","color":"9c6ec9","default":false},{"id":833747278,"url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/labels/dataset","name":"dataset","color":"badcfc","default":false},{"id":833747141,"url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/labels/stereo_camera","name":"stereo_camera","color":"5bef67","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-02-11T04:02:55Z","updated_at":"2018-02-11T04:42:43Z","closed_at":null,"author_association":"OWNER","body":"Here is a dataset collected from two (not perfectly aligned) PS3 Eye cameras:\r\n\r\n20180209_1736 - 2 x PS3 Eye + Android Sensors + OBD II data\r\nhttps://drive.google.com/open?id=1KBWIUBp5nZNDiNcKVJP1Tzqs_5ll5S4Y\r\n\r\nLeft camera (3 GB)\r\nhttps://drive.google.com/open?id=1WAv2m-APu0_rjMptRfK2DxRdvu2eWlvc\r\nRight camera (3 GB)\r\nhttps://drive.google.com/open?id=1-LMnWK2L_CRQMMBhGu9575HHhST2HLHP\r\n\r\nThe dataset contains the images from left and right cameras, sensors data (GPS, Accelerometer, Gyro, Compass, Magnetometer from Android phone) collected with [Android Sensors](https://play.google.com/store/apps/details?id=com.lpellis.sensorlab&hl=en) app and OBD II data collected with [Torque Lite ](https://play.google.com/store/apps/details?id=org.prowl.torquefree&hl=en) Android app.\r\n\r\nThe images needs to be aligned and synchronized (can be done by using the signal or break lights of the cars) also with the sensors and OBD II data (based on start/stop periods).\r\n\r\nBoth the alignment and synchronization should be done automatically, so a program to do this will be required, to ease the use of future datasets like this"},"comment":{"url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/issues/comments/364721075","html_url":"https://github.com/OSSDC/OSSDC-VisionBasedACC/issues/13#issuecomment-364721075","issue_url":"https://api.github.com/repos/OSSDC/OSSDC-VisionBasedACC/issues/13","id":364721075,"user":{"login":"mslavescu","id":461669,"avatar_url":"https://avatars3.githubusercontent.com/u/461669?v=4","gravatar_id":"","url":"https://api.github.com/users/mslavescu","html_url":"https://github.com/mslavescu","followers_url":"https://api.github.com/users/mslavescu/followers","following_url":"https://api.github.com/users/mslavescu/following{/other_user}","gists_url":"https://api.github.com/users/mslavescu/gists{/gist_id}","starred_url":"https://api.github.com/users/mslavescu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mslavescu/subscriptions","organizations_url":"https://api.github.com/users/mslavescu/orgs","repos_url":"https://api.github.com/users/mslavescu/repos","events_url":"https://api.github.com/users/mslavescu/events{/privacy}","received_events_url":"https://api.github.com/users/mslavescu/received_events","type":"User","site_admin":false},"created_at":"2018-02-11T04:42:43Z","updated_at":"2018-02-11T04:42:43Z","author_association":"OWNER","body":"Would be interesting to use instance segmentation and then calculate disparity at contour level.\n\nThe images have noise (it was fairly dark), and the snow/wiper gets in the way too, so lets see if we could improve the accuracy of instance segmentation in these situations.\n\nThe main target would be to test #1-mvp-vbacc and create a 3D map (also correlating compass​, IMU, OBD II speed) to help #2-mvp-lkas (the lane markings are covered by snow)."}}
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