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1. MAFAT-RADAR-ChallengeMAFAT-RADAR-ChallengePublic

   The MAFAT challenge, by the Israeli Department of Defense. Deep Learning based approach to classify radar signatures of humans and animals.

   Jupyter Notebook 8 2

2. Rommelag-Defect-Identification-ChallengeRommelag-Defect-Identification-ChallengePublic

   Defect Identification Challenge to find an efficient and exact process for error detection in the production line using Computer Vision, Deep Learning or Classical Machine Learning based techniques.

   Jupyter Notebook 3

3. platooning-demonstratorplatooning-demonstratorPublic

   A Platooning demonstrator consisting of a convoy of 1/10 scale RC cars. Deep Learning and Computer Vision concepts utilized and system implemented on the Jetson Nano.

   Jupyter Notebook 34 6

4. accelerated-incremental-learning-with-support-vector-machinesaccelerated-incremental-learning-with-support-vector-machinesPublic

   Accelerated implementation of the SVM algorithm on an embedded SoC with changes to the algorithm structure to accommodate learning from large volumes of data in an incremental manner with approxima…

   VHDL 8 4

5. Pepperl-Fuchs-Lidar-Classification-ChallengePepperl-Fuchs-Lidar-Classification-ChallengePublic

   To increase transparency and efficiency in intralogistics, we are looking for a solution to classify moving boxes in a production area. By using the latest 2D-Lidar technologies powered by Pepperl+…

   Jupyter Notebook 2

6. lincoln-poinsettia-challengelincoln-poinsettia-challengePublic

   The Lincoln Agri-Robotics Poinsettia Challenge is a machine learning and computer vision competition to devise intelligent ways to identify features that contribute to rating the "best" poinsettia

   Python 1