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Sensor data fusion is a crucial technique for integrating data from various sensors into a consistent state. By combining information from multiple sources, errors and noise from one sensor can be minimized and supplemented with data from others. This seminar will showcase sensor data fusion in the context of estimating
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the position of an autonomous mobile machine, where data from lidar, odometry, and GPS sensors are often combined. This problem is fundamental and essential in applications where a mobile system needs to behave accurately. Such applications include industrial trucks, AGVs, mobile service robots, and autonomous vehicles. We will explore a robust solution to state estimation problems using probabilistic estimation methods based on the Bayes filter.
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Timings09:00 AM-06:00 PM (expected)Not Verified | Entry FeesCheck Official Website |
Estimated Turnout500-1000 Delegates Based on previous editions | Event TypeConference |
EditionsOct 2023, DüsseldorfMay 2022, Online +1 more edition Frequency Annual | Official LinksWebsiteContacts Report Error Claim this event |
Different Located Editions Nürtingen, Germany25 - 26 Jan 2024 3 Followers | |
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