https://mw.hh.se/caisr/index.php?action=history&feed=atom&title=Zenseact_Scalable_Mapping 2026-04-04T04:02:17Z Revision history for this page on the wiki MediaWiki 1.35.13 https://mw.hh.se/caisr/index.php?title=Zenseact_Scalable_Mapping&diff=5144&oldid=prev 2022-10-10T19:30:21Z

<p>Created page with &quot;{{StudentProjectTemplate |Summary=Scalable mapping through crowd sourcing |TimeFrame=Fall 2022 |Supervisor=TBD |Level=Master |Status=Open }} This thesis aims to develop a scal...&quot;</p> <p><b>New page</b></p><div>{{StudentProjectTemplate<br /> |Summary=Scalable mapping through crowd sourcing<br /> |TimeFrame=Fall 2022<br /> |Supervisor=TBD<br /> |Level=Master<br /> |Status=Open<br /> }}<br /> This thesis aims to develop a scalable method to crowdsource certain elements of an HD map by collecting sensor data from a fleet of vehicles and fusing the information into a single coherent road model. The focus is to describe the geometry of lane markers, traffic signs, and natural driving profiles on a large scale, or at least from a handful of drives on the ring roads of Göteborg.<br /> <br /> The topic is proposed by Zenseact. More details are available here:<br /> <br /> https://career.zenseact.com/jobs/2113621-master-thesis-scalable-mapping-through-crowd-sourcing<br /> <br /> About Zenseact: We develop the complete software stack for ADAS and AD, from sensing to actuation. Our focus is to build a single cutting-edge software platform in order to serve various levels of autonomy and offer unequaled scalability at the same time. We operate in Sweden and China.</div>

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