Kurz, Andreas (1993)
Building Maps Based On a Learned Classification of Ultrasonic Range Data.
1st IFAC Workshop on Intelligent Autonomous Vehicles. Southampton, United Kingdom (18.04.1993-21.04.1993)
Conference or Workshop Item, Bibliographie
This is the latest version of this item.
Abstract
This paper introduces an approach for learning environmental maps based on ultrasonic range data. A neural network concept (self-organizing feature map) is used to learn a classification of the range data which makes it possible to discern situations. As a consequence the free-apace is partitioned into situation areas which are defined as regions wherein a specific situation can be recognized. Using dead-reckoning such situation areas can be attached to graph nodes generating a map of the free-space in the form of a graph representation. In this context it is discussed how the dead-reckoning drift can be compensated
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 1993 |
| Creators: | Kurz, Andreas |
| Type of entry: | Bibliographie |
| Title: | Building Maps Based On a Learned Classification of Ultrasonic Range Data |
| Language: | English |
| Date: | 22 April 1993 |
| Event Title: | 1st IFAC Workshop on Intelligent Autonomous Vehicles |
| Event Location: | Southampton, United Kingdom |
| Event Dates: | 18.04.1993-21.04.1993 |
| Corresponding Links: | |
| Abstract: | This paper introduces an approach for learning environmental maps based on ultrasonic range data. A neural network concept (self-organizing feature map) is used to learn a classification of the range data which makes it possible to discern situations. As a consequence the free-apace is partitioned into situation areas which are defined as regions wherein a specific situation can be recognized. Using dead-reckoning such situation areas can be attached to graph nodes generating a map of the free-space in the form of a graph representation. In this context it is discussed how the dead-reckoning drift can be compensated |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems) |
| Date Deposited: | 08 Oct 2010 12:42 |
| Last Modified: | 03 Jul 2024 02:08 |
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| Suche nach Titel in: | TUfind oder in Google |
Available Versions of this Item
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Building Maps Based on a Learned Classification of Ultrasonic Range Data. (deposited 10 Mar 2023 10:17)
- Building Maps Based On a Learned Classification of Ultrasonic Range Data. (deposited 08 Oct 2010 12:42) [Currently Displayed]
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