Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception
Overview & Synopsis
This work presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The algorithm allows to consider the prediction uncertainty (e.g. different intentions), perception uncertainty (e.g. occlusions) as well as the uncertain interactive behavior of the other agents explicitly.
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Document Information
| Document Title | Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception |
|---|---|
| Author / Organization | Constantin Hubmann |
| Subject & Discipline | Artificial Intelligence (AI), Deep Learning, Neural Networks, Robotics and Robot Programming, Machine Learning |
| Publication Year | 2021 |
| ISBN | 3731510391 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Verification pending |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-258944 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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