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Probabilistic Techniques for Robot Navigation
Published on Jul 31, 20161266 Views
Probabilistic approaches have been discovered as one of the most powerful approaches to highly relevant problems in mobile robotics including perception and robot state estimation. Major challenges
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Chapter list
Probabilistic Techniques for Robot Navigation00:00
Key Challenges in Navigation00:54
Nature of Data01:33
Probabilistic Robotics03:03
MCL: Global Localization (Sonar)03:17
Precise Localization and Positioning for Mobile Robots04:00
Accurate Localization04:45
26 Units installed at Boeing05:22
Accurate indoor RGB-D Localization05:47
How to Learn a Map: SLAM06:40
Graph-Based SLAM in a Nutshell - 107:14
Graph-Based SLAM in a Nutshell - 207:39
Graph-Based SLAM in a Nutshell - 307:53
Graph-Based SLAM in a Nutshell - 408:12
Freiburg Campus Octomap08:27
3D Map of the Stanford Parking Garage08:44
Autonomous Parking09:36
Autonomous Navigation in Urban Areas10:20
Challenge: Canals11:11
Challenge: Kids11:23
The Tagesthemen-Report13:19
Learning Driving Styles16:38
And what’s next?16:49
Applications in Robotics ...17:11
Terrain Classification using a Late Fusion DCNN Architecture17:28
Autonomous Navigation in Outdoor Areas18:03
… and End to End Navigation18:20
Outlook19:57
Summary20:06