Scipediacontent at 12:33, 21 January 2021

2021-01-21T12:33:26Z

Scipediacontent: Scipediacontent moved page Draft Content 525247417 to Brenner Hofmann 2010a

2020-10-14T12:23:18Z

Scipediacontent moved page Draft Content 525247417 to Brenner Hofmann 2010a

Scipediacontent: Created page with " == Abstract == In the future, vehicles will gather more and more spatial information about their environment, using on-board sensors such as cameras and laser scanners. Usin..."

2020-10-14T12:23:13Z

Created page with " == Abstract == In the future, vehicles will gather more and more spatial information about their environment, using on-board sensors such as cameras and laser scanners. Usin..."

New page

== Abstract ==

In the future, vehicles will gather more and more spatial information about their environment, using on-board sensors such as cameras and laser scanners. Using this data, e.g. for localization, requires highly accurate maps with a higher level of detail than provided by today's maps. Producing those maps can only be realized economically if the information is obtained fully automatically. It is our goal to investigate the creation of intermediate level maps containing geo-referenced landmarks, which are suitable for the specific purpose of localization. To evaluate this approach, we acquired a dense laser scan of a 22 km scene, using a mobile mapping system. From this scan, we automatically extracted pole-like structures, such as street and traffic lights, which form our pole database. To assess the accuracy, ground truth was obtained for a selected inner-city junction by a terrestrial survey. In order to evaluate the usefulness of this database for localization purposes, we obtained a second scan, using a robotic vehicle equipped with an automotive-grade laser scanner. We extracted poles from this scan as well and employed a local pole matching algorithm to improve the vehicle's position.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_525247417-beopen529-8949-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://www.repo.uni-hannover.de/bitstream/123456789/1155/1/88_Paper.pdf https://www.repo.uni-hannover.de/bitstream/123456789/1155/1/88_Paper.pdf] under the license cc-by

DOIS: 10.15488/1131 10.1007/978-3-642-25926-5_13

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 In the future, vehicles will gather more and more spatial information about their environment, using on-board sensors such as cameras and laser scanners. Using this data, e.g. for localization, requires highly accurate maps with a higher level of detail than provided by today's maps. Producing those maps can only be realized economically if the information is obtained fully automatically. It is our goal to investigate the creation of intermediate level maps containing geo-referenced landmarks, which are suitable for the specific purpose of localization. To evaluate this approach, we acquired a dense laser scan of a 22 km scene, using a mobile mapping system. From this scan, we automatically extracted pole-like structures, such as street and traffic lights, which form our pole database. To assess the accuracy, ground truth was obtained for a selected inner-city junction by a terrestrial survey. In order to evaluate the usefulness of this database for localization purposes, we obtained a second scan, using a robotic vehicle equipped with an automotive-grade laser scanner. We extracted poles from this scan as well and employed a local pole matching algorithm to improve the vehicle's position.
@@ Line 14: / Line 9: @@
 The different versions of the original document can be found in:
-* [https://www.repo.uni-hannover.de/bitstream/123456789/1155/1/88_Paper.pdf https://www.repo.uni-hannover.de/bitstream/123456789/1155/1/88_Paper.pdf] under the license cc-by
+* [https://www.repo.uni-hannover.de/bitstream/123456789/1155/1/88_Paper.pdf https://www.repo.uni-hannover.de/bitstream/123456789/1155/1/88_Paper.pdf] under the license https://creativecommons.org/licenses/by
-DOIS: 10.15488/1131 10.1007/978-3-642-25926-5_13
+DOIS: 10.1007/978-3-642-25926-5_13 10.15488/1131

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Brenner Hofmann 2010a - Revision history

Scipediacontent at 12:33, 21 January 2021

Scipediacontent: Scipediacontent moved page Draft Content 525247417 to Brenner Hofmann 2010a

Scipediacontent: Created page with " == Abstract == In the future, vehicles will gather more and more spatial information about their environment, using on-board sensors such as cameras and laser scanners. Usin..."