Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Specifications and strategies for state estimation of vehicle and platoon
KTH, School of Electrical Engineering (EES), Signal Processing.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Advancement in the automobile industry has resulted in the concept of advanced driver assistance systems (ADAS). As of now, a major portion of ADAS is essentially non-cooperative in nature. These systems make use of the information gathered by in-car sensors that scan the vehicle's environment. Signi cant progress can be made, however, when vehicles not only sense information, but also communicate intelligently with other vehicles and road side infrastructure. This constitutes the eld of cooperative driving which was the objective of the Grand Cooperative Driving Challenge (GCDC) competition, held in May 2011 at Helmond, Holland.The purpose of this thesis is to de ne speci cations and strategies, that could be employed for the state estimation of single vehicle and of a platoon of vehicles, speci cally for the GCDC competition. The states of a vehicle are the parameters that can be used in navigation and control of a vehicle. In the current thesis work, it includes the parameters transmitted to other platoon vehicles as well as the those sent to vehicle's controller. Two types of states have been classi fied, namely the singlevehicle states and the platoon states. Dierent models have been studied for the representation of single vehicle and the vehicles in the platoon. Each model has its own particular advantages and disadvantages. The decision of employing a model depends upon the platooning strategies, and the processing power available. Kalman lters have been used for the state estimation.

Place, publisher, year, edition, pages
2011. , 116 p.
Series
EES Examensarbete / Master Thesis, XR–EE–SB 2011:013
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-53771OAI: oai:DiVA.org:kth-53771DiVA: diva2:470903
Educational program
Master of Science - Wireless Systems
Uppsok
Technology
Examiners
Available from: 2012-01-19 Created: 2011-12-30 Last updated: 2012-03-19Bibliographically approved

Open Access in DiVA

fulltext(3582 kB)2393 downloads
File information
File name FULLTEXT01.pdfFile size 3582 kBChecksum SHA-512
616aa62318b61eabaea3d57cd25a4b2076b4ac11ccf63f3bb3e7a9bc127c6495ee86ddb146f71d1b37fc2ed6fe2ccd4da6b5129fab8514f58df1fee650be936b
Type fulltextMimetype application/pdf

By organisation
Signal Processing
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 2393 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 237 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf