The development of an intelligent autonomous vehicle, that can perform high risk missions or operate in environments too hazardous for humans, has been a long standing quest of the military community. The Autonomous Platform Simulator (APS) uses the flexibility and power of realistic graphical simulation to provide a low cost testbed for the study of real-time path planning algorithms and control strategies without the commitment of resources involved in building a prototype system. It is a bridge between the theoretical study of an abstract AI path planning problem and applied research, producing concrete performance measurements under realistic conditions. APS consists of one or more vehicle simulators, each implemented on a Silicon Graphics IRIS/4D-70GT graphics workstation. One vehicle simulator is linked with an AI agent path planner, implemented on a pair of Symbolic AI workstations using the Automated Reasoning Tool development shell. System trails demonstrated that APS was able to achieve real-time path planning and guidance of a realistically depicted ground vehicle navigating using digitized data of actual terrain. Communication bottlenecks currently limit the ability to make direct comparisons between human and machine control, but the system holds promise to fill the gap as a pre-prototype autonomous platforms simulator. Keywords: Visual simulators, Real-time graphics, Distributed processing, Line-of-sight. Theses. (aw)


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    AUTONOMOUS VEHICLE SIMULATOR USING NETWORK PLATFORM

    JUNG JIWON / HONG JUN | European Patent Office | 2025

    Free access

    AUTONOMOUS DRIVING VEHICLE SIMULATOR TO WHICH NETWORK PLATFORM IS APPLIED

    JUNG JIWON / HONG JUN | European Patent Office | 2022

    Free access

    AUTONOMOUS DRIVING VEHICLE SIMULATOR TO WHICH NETWORK PLATFORM IS APPLIED

    JUNG JIWON / HONG JUN | European Patent Office | 2020

    Free access

    Autonomous Driving Simulator

    Ren, Jianfeng / Xia, Dong | Springer Verlag | 2023


    AUTONOMOUS DRIVING SIMULATOR

    BOWMAN DARRELL | European Patent Office | 2024

    Free access