TY - GEN
T1 - Graph based cooperative localization using symmetric measurement equations and dedicated short range communication
AU - Gulati, Dhiraj
AU - Zhang, Feihu
AU - Clarke, Daniel
AU - Knoll, Alois
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/7
Y1 - 2017/12/7
N2 - Safety is one of the critical challenges for a semi or fully automated driving assistance systems. One of the key parameters for a safe automated driving assistance system is precise localization of the self and surrounding vehicles. Our previous work demonstrated the use of Symmetric Measurement Equations (SME) in a Factor Graph framework and exploited the use of sensor located outside the vehicle. In this paper we present a new approach which not only performs above mentioned cooperative vehicle infrastructure localization but also uses Dedicated Short Range Communication (DSRC). This work goes further in the direction of a complete V2X solution not only involving the infrastructure sensor but also the neighbouring vehicles. DSRC has been increasingly incorporated in all the the modern vehicles. Better state estimation is achieved by formulating the range information from DSRC as a new DSRC Range Factor in the Factor Graph. Simulations indicate better performance over the previously proposed approach of only using SME in the Factor Graph, thereby progressing a step further towards safe automated driving assistance systems.
AB - Safety is one of the critical challenges for a semi or fully automated driving assistance systems. One of the key parameters for a safe automated driving assistance system is precise localization of the self and surrounding vehicles. Our previous work demonstrated the use of Symmetric Measurement Equations (SME) in a Factor Graph framework and exploited the use of sensor located outside the vehicle. In this paper we present a new approach which not only performs above mentioned cooperative vehicle infrastructure localization but also uses Dedicated Short Range Communication (DSRC). This work goes further in the direction of a complete V2X solution not only involving the infrastructure sensor but also the neighbouring vehicles. DSRC has been increasingly incorporated in all the the modern vehicles. Better state estimation is achieved by formulating the range information from DSRC as a new DSRC Range Factor in the Factor Graph. Simulations indicate better performance over the previously proposed approach of only using SME in the Factor Graph, thereby progressing a step further towards safe automated driving assistance systems.
UR - http://www.scopus.com/inward/record.url?scp=85042374056&partnerID=8YFLogxK
U2 - 10.1109/MFI.2017.8170395
DO - 10.1109/MFI.2017.8170395
M3 - Conference contribution
AN - SCOPUS:85042374056
T3 - IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
SP - 644
EP - 649
BT - MFI 2017 - 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017
Y2 - 16 November 2017 through 18 November 2017
ER -