Scipediacontent: Scipediacontent moved page Draft Content 329574510 to 238,295kt

2021-03-22T23:05:37Z

Scipediacontent moved page Draft Content 329574510 to 238,295kt

Scipediacontent: Created page with " == Abstract == Landmark-based vehicle localization is a key component of both autonomous driving and advanced driver assistance systems (ADAS). Previously used landmarks in..."

2021-03-22T23:04:12Z

Created page with " == Abstract == Landmark-based vehicle localization is a key component of both autonomous driving and advanced driver assistance systems (ADAS). Previously used landmarks in..."

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== Abstract ==

Landmark-based vehicle localization is a key component of both autonomous driving and advanced driver assistance systems (ADAS). Previously used landmarks in highways such as lane markings lack information on longitudinal positions. To address this problem, lane endpoints can be used as landmarks. This paper proposes two essential components when using lane endpoints as landmarks: lane endpoint detection and its accuracy evaluation. First, it proposes a method to efficiently detect lane endpoints using a monocular forward-looking camera, which is the most widely installed perception sensor. Lane endpoints are detected with a small amount of computation based on the following steps: lane detection, lane endpoint candidate generation, and lane endpoint candidate verification. Second, it proposes a method to reliably measure the position accuracy of the lane endpoints detected from images taken while the camera is moving at high speed. A camera is installed with a mobile mapping system (MMS) in a vehicle, and the position accuracy of the lane endpoints detected by the camera is measured by comparing their positions with ground truths obtained by the MMS. In the experiment, the proposed methods were evaluated and compared with previous methods based on a dataset acquired while driving on 80 km of highway in both daytime and nighttime.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_329574510-beopen1305-7442-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/s18124389 http://dx.doi.org/10.3390/s18124389] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/s18124389 http://dx.doi.org/10.3390/s18124389] under the license http://creativecommons.org/licenses/by/3.0/

* [http://europepmc.org/articles/PMC6308985 http://europepmc.org/articles/PMC6308985] under the license https://creativecommons.org/licenses/by/4.0

* [https://www.mdpi.com/1424-8220/18/12/4389/pdf https://www.mdpi.com/1424-8220/18/12/4389/pdf]

* [http://www.mdpi.com/1424-8220/18/12/4389/pdf http://www.mdpi.com/1424-8220/18/12/4389/pdf],
: [http://dx.doi.org/10.3390/s18124389 http://dx.doi.org/10.3390/s18124389] under the license cc-by

* [https://www.mdpi.com/1424-8220/18/12/4389 https://www.mdpi.com/1424-8220/18/12/4389],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220] under the license https://creativecommons.org/licenses/by/4.0/

* [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308985 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308985],
: [https://dblp.uni-trier.de/db/journals/sensors/sensors18.html#JangSJ18 https://dblp.uni-trier.de/db/journals/sensors/sensors18.html#JangSJ18],
: [https://doi.org/10.3390/s18124389 https://doi.org/10.3390/s18124389],
: [https://academic.microsoft.com/#/detail/2905282315 https://academic.microsoft.com/#/detail/2905282315]

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Scipediacontent: Scipediacontent moved page Draft Content 329574510 to 238,295kt

Scipediacontent: Created page with " == Abstract == Landmark-based vehicle localization is a key component of both autonomous driving and advanced driver assistance systems (ADAS). Previously used landmarks in..."