With the growing development of autonomous navigation technologies, transportation systems have become safer and hassle-free. However, this decreasing necessity for human intervention has been both a boon and a bane for novel technologies. Utilising autonomous driving systems in highly rugged terrains has become very sophisticated and challenging. Upgradation of persisting navigation technologies in deformed terrains can improve accessibility, economy, security, traffic, and travel time. Therefore, the current preliminary research illustrates an acoustic wave and visual navigation-based rover system that can better navigate by monitoring the terra-formations using the acoustic and visual sensors to receive the reflected signal and image, respectively. The implementation tries to map the sensed world to a digital twin that the rover navigates through. The realisation of the model and the essential metrics are illustrated. The extension of the proposed technology to a grander scale in automobiles must be examined in several other environments and more focused on.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Acoustic and Visual Sensor Fusion-Based Rover System for Safe Navigation in Deformed Terrain


    Additional title:

    Proceedings in Adaptation, Learning and Optimization



    Conference:

    International Conference on Intelligent Vision and Computing ; 2022 ; Tripura, India November 26, 2022 - November 27, 2022



    Publication date :

    2023-05-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Multi-Mission Terrain Classifier for Safe Rover Navigation and Automated Science

    Ono, Masahiro / Hasnain, Zaki / Didier, Annie et al. | NTRS | 2022



    Multi-mission Terrain Classifier for Safe Rover Navigation and Automated Science

    Atha, Deegan / Swan, R. Michael / Didier, Annie et al. | IEEE | 2022


    Visual terrain matching for a Mars rover

    Gennery, D.B. | Tema Archive | 1989


    Navigation of a martian rover in very rough terrain

    Jarvis, Ray | Springer Verlag | 2008