51 to 60 of 72 Results
Plain Text - 35.0 KB -
MD5: e62637ea8a114355b985fd86c9ffbd6e
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Markdown Text - 4.2 KB -
MD5: d74b2d05c067f601b0c21b30231e7dc3
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MATLAB Source Code - 5.1 KB -
MD5: 6cd39e72317afe7ececcf3bea16bffcd
Simple onboarding script to get familiar with the CaSoS toolbox and to understand how to setup the nonconvex SOS problems and solve them with the proposed sequential SOS algorithm. |
Sep 29, 2025 -
Supplementary Material for Safe-by-Design Approximate Nonlinear Model Predictive Control with Realtime Feasibility
ZIP Archive - 223.3 MB -
MD5: 0f016490b787f6b7ce766338874b8d2e
Data of the full-horizon NMPC formulations and their large .mat files. See ReadMe.md for instructions. |
Sep 29, 2025 -
Supplementary Material for Safe-by-Design Approximate Nonlinear Model Predictive Control with Realtime Feasibility
ZIP Archive - 512.1 MB -
MD5: 46f40940535df1ffbc3b52e1fdff1554
Contains large data files (.mat) to run evaluation.m from the GitHub repository copy |
Jul 22, 2025
Ahmad, Aamir, 2025, "DAZZLE: Drone-Acquired Zebra data for Large-scale Ecology research", https://doi.org/10.18419/DARUS-5162, DaRUS, V1
DAZZLE Dataset consists of semi-automatically labeled behaviors of plains and Grévy's zebras holistically for all individuals in complete scenes, in addition to bounding boxes on individual animals. DAZZLE has >30K frames and >160K annotations. Dataset Contents: Extracted image frames from the video and corresponding annotations. Generated dataset... |
ZIP Archive - 68.5 GB -
MD5: 30a1d57090eb31a77cee8f59d03a093b
README |
ZIP Archive - 3.1 GB -
MD5: 8eeada2fe6b485b03b4ac9724bdb8865
README |
ZIP Archive - 22.9 GB -
MD5: 37d3b3b508a38509b1c39e394cf78cad
README |
Plain Text - 1.0 KB -
MD5: d22f803f0b51086eb773e1ac13ce8364
README |
