Multi-sensor data fusion is a broad area of constant research which is applied to a wide variety of fields such as the field of mobile robots. Mobile robots are complex systems where the design and implementation of sensor fusion is a complex task. But research applications are explored constantly. The main objective of a multi-sensor system is to improve the capabilities of a single sensor when translating different sensory inputs into the construction of a map that can be used for navigation. In this context, it is important to find novel solutions based on the state of the art of this field. The scope of the thesis is limited to building a map for a laboratory robot by fusing range readings from a sonar array with landmarks extracted from stereo vision images using the (Scale Invariant Feature Transform) SIFT algorithm.


    Access

    Download


    Export, share and cite



    Title :

    Sensor Fusion for Autonomous Mobile Robot Navigation


    Contributors:

    Publication date :

    2008-01-01


    Remarks:

    Plascencia , A 2008 , Sensor Fusion for Autonomous Mobile Robot Navigation . Aalborg Universitet , Aalborg .


    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Autonomous Navigation for Mobile Robot Based on a Fusion Algorithm

    Shi, Yunkun / Zhang, Zhize / Li, Xiao | Springer Verlag | 2022


    Autonomous Navigation for Mobile Robot

    Peng, Gang / Lam, Tin Lun / Hu, Chunxu et al. | Springer Verlag | 2023


    Autonomous Navigation by a Mobile Robot

    Huntsberger, Terrance / Aghazarian, Hrand | NTRS | 2005


    Fuzzy helps to autonomous mobile robot navigation

    Maaref, H. / Benreguieg, M. / Barret, C. | British Library Online Contents | 1996


    Intelligent Navigation Control of an Autonomous Mobile Robot

    Young Hoon Joo / Hee Soo Hwang / Kwang Bang Woo et al. | British Library Conference Proceedings | 1993