08: Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019, 24.06.2019
Author
Participating institute
Fakultät für Maschinenbau (MACH)
Institut für Mess- und Regelungstechnik mit Maschinenlaboratorium (MRT)
Genre
Description
- 0:00:00 Start
- 0:00:05 Nonlinear Extensions of the Kalman Filter
- 0:03:08 Example: Determine Ego Motion Visually
- 0:27:36 Non-Gaussian Models
- 0:30:01 Numerical Representation
- 0:41:38 Particle Filter
- 1:05:12 Particle Filter with Resampling
- 1:06:32 Comparison of Filters
- 1:13:15 Summary
Duration (hh:mm:ss)
01:15:22
Series
Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019
Published on
25.06.2019
Subject area
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 | 807646 bps |
| Color Space | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Media Type | video/mp4 |
| Duration | 4522 s |
| Filename | DIVA-2019-575_hd.mp4 |
| File Size | 456.488.364 byte |
| Frame Rate | 25 |
| Video Bitrate | 673549 bps |
| Video Codec | h264 |
Media URL
Embed Code
Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019
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