Trajectory extraction for analysis of unsafe driving behaviour

Show simple item record

dc.identifier.uri http://dx.doi.org/10.15488/5106
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/5150
dc.contributor.author Koetsier, C.
dc.contributor.author Busch, S.
dc.contributor.author Sester, M.
dc.date.accessioned 2019-07-04T11:37:34Z
dc.date.available 2019-07-04T11:37:34Z
dc.date.issued 2019
dc.identifier.citation Koetsier, C.; Busch, S.; Sester, M.: Trajectory extraction for analysis of unsafe driving behaviour. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42 (2019), Nr. 2/W13, S. 1573-1578. DOI: https://doi.org/10.5194/isprs-archives-XLII-2-W13-1573-2019
dc.description.abstract The environment of the vehicle can significantly influence the driving situation. Which conditions lead to unsafe driving behaviour is not always clear, also not to a human driver, as the causes might be unconscious, and thus cannot be revealed by expert interviews. Therefore, it is important to investigate how such situations can be reliably detected, and then search for their triggers. It is conceivable that such insecure situations (e.g. near-accidents, U-turns, avoiding obstacles) are reflected, for example, as anomalies in the movement trajectories of road users. Collecting real world traffic data in driving studies is very time consuming and expensive. However, a lot of roads or public areas are already monitored with video cameras. In addition, nowadays more and more of such video data is made publicly available over the internet so that the amount of free video data is increasing. This research will exploit the use of such kind of opportunistic VGI. In the paper the first step of an automatic analysis are presented, namely: to introduce a real time processing pipeline to extract road user trajectories from surveillance video data. eng
dc.language.iso eng
dc.publisher London : International Society for Photogrammetry and Remote Sensing
dc.relation.ispartof 4th ISPRS Geospatial Week 2019, Juni 10-14, 2019, Enschede, The Netherlands
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42 (2019), Nr. 2/W13
dc.rights CC BY 4.0
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Deep Learning eng
dc.subject Surveillance Video Analysis eng
dc.subject Trajectory Analysis eng
dc.subject Trajectory Extraction eng
dc.subject Automobile drivers eng
dc.subject Deep learning eng
dc.subject Extraction eng
dc.subject Motor transportation eng
dc.subject Network security eng
dc.subject Roads and streets eng
dc.subject Trajectories eng
dc.subject Video cameras eng
dc.subject Video recording eng
dc.subject Automatic analysis eng
dc.subject Avoiding obstacle eng
dc.subject Driving situations eng
dc.subject Movement trajectories eng
dc.subject Realtime processing eng
dc.subject Surveillance video eng
dc.subject Trajectory analysis eng
dc.subject Trajectory extraction eng
dc.subject Security systems eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Trajectory extraction for analysis of unsafe driving behaviour
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 1682-1750
dc.relation.doi https://doi.org/10.5194/isprs-archives-XLII-2-W13-1573-2019
dc.bibliographicCitation.issue 2/W13
dc.bibliographicCitation.volume 42
dc.bibliographicCitation.firstPage 1573
dc.bibliographicCitation.lastPage 1578
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s):

Show simple item record

 

Search the repository


Browse

My Account

Usage Statistics