07: Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019, 17.06.2019
Author
Participating institute
Fakultät für Maschinenbau (MACH)
Institut für Mess- und Regelungstechnik mit Maschinenlaboratorium (MRT)
Genre
Description
- 0:00:00 Start
- 0:00:07 Hidden Markov Model
- 0:04:04 Iterative Process
- 0:29:37 General Case
- 0:32:39 Special Case: linear Gaussian models
- 0:50:26 Kalman Filter
- 1:10:11 Linear regression
- 1:17:12 Nonlinear Extensions of the Kalman Filter
- 1:18:51 Extended Kalman filter (EKF)
- 1:23:12 Unscented Kalman Filter (UKF)
Duration (hh:mm:ss)
01:28:01
Series
Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019
Published on
17.06.2019
Subject area
Measurement and control engineering
License
| Resolution | 1280 x 720 Pixel |
| Aspect ratio | 16:9 |
| Audio bitrate | 128000 bps |
| Audio channels | 2 |
| Audio Codec | aac |
| Audio Sample Rate | 48000 Hz |
| Total Bitrate | 348559 bps |
| Color Space | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Media Type | video/mp4 |
| Duration | 5281 s |
| Filename | DIVA-2019-546_hd.mp4 |
| File Size | 230.074.507 byte |
| Frame Rate | 25 |
| Video Bitrate | 214457 bps |
| Video Codec | h264 |
Media URL
Embed Code
Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019
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