Vehicle Localization Using Visual Detected Traffic Signs and Ego Motion
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Future Advanced Driver Assistance System (ADAS) will support the driver even more, especiallyin hazardous situation. In the long term the vehicle will take step by step the controlover the driving functions, at the end of this process the future car will completely drive autonomously.These systems will require more and more precision in the localization of the vehiclewith respect to its surrounding as well as for its global positioning. Within the scope of thisthesis an algorithm for outdoor vehicular localization using visual detected traffic signs, egomotion as well as an a-priori map is developed, tested and evaluated.
Place, publisher, year, edition, pages
2016. , 69 p.
IdentifiersURN: urn:nbn:se:ltu:diva-46302Local ID: 3f17440c-fbdd-439b-a061-2c7fd1feaf83OAI: oai:DiVA.org:ltu-46302DiVA: diva2:1019616
Subject / course
Student thesis, at least 30 credits
Space Engineering, master's level
Validerat; 20160111 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved