Video Sammelthread (new rule: no post w/o video!)

Zitat

This video visualizes the detection process of OpenCV's face detector. The algorithm uses the Viola Jones method of calculating the integral image and then performing some calculations on all the areas defined by the black and white rectangles to analyze the differences between the dark and light regions of a face. The sub-window (in red) is scanned across the image at various scales to detect if there is a potential face within the window. If not, it continues scanning. If it passes all stages in the cascade file, it is marked with a red rectangle. But this does not yet confirm a face. In the post-processing stage all the potential faces are checked for overlaps. Typically, 2 or 3 overlapping rectangles are required to confirm a face. Loner rectangles are rejected as false-positives.
This visualization was done as part of the documentation for CV Dazzle, camouflage from face detection. For more information, visit cvdazzle.com

Zitat

Here, we see MARTY, the autonomous electric DeLorean, repeatedly execute a highly dynamic figure 8 drifting maneuver. During the rapid transitions between +/- 40 degrees of drift angle, the vehicle steers lock-to-lock in about a second, reaching yaw rates as high as 120 deg/s. This new version of the controller uses real-time estimation of friction and other vehicle parameters to improve accuracy and robustness. The motion plan is formulated using a nonlinear optimization scheme that takes into account both the highly coupled dynamics and limited actuation. By studying how to control a vehicle in these extreme situations, the researchers are helping to make autonomous vehicles safer.