{"id":17,"date":"2022-01-26T12:55:43","date_gmt":"2022-01-26T12:55:43","guid":{"rendered":"https:\/\/cv.inf.elte.hu\/?p=17"},"modified":"2022-10-10T10:27:06","modified_gmt":"2022-10-10T10:27:06","slug":"verseny-hallgatok-reszere","status":"publish","type":"post","link":"https:\/\/cv.inf.elte.hu\/index.php\/2022\/01\/26\/verseny-hallgatok-reszere\/","title":{"rendered":"Bosch-ELTE Student Competition for Parking Car Detection"},"content":{"rendered":"\n
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The result of the first Bosch-ELTE competition is as follows:<\/p>\n\n\n\n

1) Barbara Szab\u00f3<\/h2>\n\n\n\n

2) D\u00e1vid Fischer<\/h2>\n\n\n\n

3) Bence Csabai<\/h2>\n\n\n\n

Congratulations for the students.<\/strong> <\/p>\n\n\n\n

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The original proposal can be read here:<\/p>\n\n\n\n

Dear Students,<\/strong> <\/p>\n\n\n\n

It is our pleasure to announce the first Bosch-ELTE competition for parking car detection.<\/em>  \ud83d\ude0a <\/p>\n\n\n\n

The aim of this project is to detect parking cars in the given 3D scenes. Camera images and\/or 3D point clouds, scanned by a LiDAR device, can be applied. Three cameras and a LiDAR are mounted on the top of ELTECar they serve the input data for the detection. <\/p>\n\n\n\n

Preliminary data can be downloaded from here:  https:\/\/cv.inf.elte.hu:8000\/data_sample<\/a>  <\/p>\n\n\n\n

As you can see from the published data, there are six different places and two complete scans at each location. One scan is taken at many different timestamps. But the bounding boxes must be determined only at the last timestamp <\/strong>of the short sequence. <\/p>\n\n\n\n

LiDAR point clouds are given in text files. Each row is an individual 3D point, a point has six coordinates: X, Y, Z, intensity, intensity, intensity. The last three coordinates are the same, they are the LIDAR reflectance at the measured point. X, Y, Z, are the 3D point coordinates. The origin is the center of the LiDAR device. Remark that the LiDAR often produces [0,0,0] coordinates, that should be filtered out.<\/strong><\/p>\n\n\n\n

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The parking cars should be represented by four corners of their bounding boxes on the ground.  They can be given either in LiDAR 3D coordinates; or four locations in any of the camera images, given by pixel coordinates.  <\/p>\n\n\n\n

This competition is open for every BSc and MSc students<\/strong> of the Faculty of Informatics at the E\u00f6tv\u00f6s Lor\u00e1nd University.  <\/p>\n\n\n\n

Deadline<\/strong> of the implementation is 22nd April.<\/s><\/strong> extended to 1st May<\/strong>.<\/p>\n\n\n\n

At the deadline, participants get another six scans that are recorded at the same locations but at different time. They should detect the bounding boxes and submit the results within 30 minutes.   <\/p>\n\n\n\n

The results are evaluated by our tool. It is prohibited to use manual tools for computing the results, the whole parking detection process should be fully automated. Students with the best results should personally present their solutions again to the organizers, in real time.  <\/p>\n\n\n\n

The competition is sponsored by the Robert Bosch GmbH. <\/strong>The first, second, and third competitors are awarded: <\/p>\n\n\n\n

1st prize: Trecam charger bluetooth speaker + Bloofi bluetooth headphones + Temboo thermometer vacuum flask <\/h2>\n\n\n\n
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2nd prize: Briden backpack <\/h2>\n\n\n\n
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3rd prize: Dickens power bank<\/h2>\n\n\n\n
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The schedule of the competition is as follows: <\/p>\n\n\n\n