Abstract
With the rapid development of unmanned technology, how to quickly and efficiently test all aspects of the safety and effectiveness of unmanned functions is an important part of ensuring its practical application. In view of the shortcomings of the existing unmanned simulation testing platform, this paper proposes a new unmanned virtual simulation hardware in the loop (HiL) platform, which uses the unmanned simulation software ScanerStudio to build realistic Simulation scenarios, vehicle model, multi-sensor model, and complex traffic flows, Jetson Xavier as a controller and Raspberry Pi as a communication analog converter, simulating the addition of sensor noise signals to enhance the authenticity of algorithmic testing. Based on the HiL testing platform, a hierarchical evaluation model is established, and three evaluation indexes are proposed. The weight vector distribution is performed for each evaluation index, and the algorithm is quantitatively evaluated. The experiment proves that the real vehicle controller can be connected to the platform to test and evaluate the adaptive cruise control algorithm, which greatly improves the test efficiency and accelerates the algorithm development progress.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
