Скачать или смотреть Integrating AutoDRIVE Ecosystem with AVL DRIVINGCUBE | OpenCAV AEB Function | Virtual Emulation

This video demonstrates a software-in-the-loop (SiL) validation demo of the autonomous emergency braking (AEB) function for the OpenCAV digital twin developed using AutoDRIVE Simulator, AutoDRIVE Python API, AVL Python API and AVL Model.CONNECT.

Particularly, this video showcases the "virtual emulation" mode of validation wherein the candidate ADAS/AD algorithm is validated using AutoDRIVE Simulator and AVL VSM in the digital space. The ADAS/AD stack receives "ground-truth" measurements in the form of a distance to collision (DTC) metric from AutoDRIVE Simulator. The planning and control modules use this information to engage brakes in case a collision is imminent.

AutoDRIVE Ecosystem Website: https://autodrive-ecosystem.github.io
AVL DRIVINGCUBE Website: https://www.avl.com/en/testing-soluti...
OpenCAV Digital Twin:    • Digital Twin of OpenCAV in AutoDRIVE Simul...  

A similar video showcasing the "virtual stimulation" mode of SiL validation of the OpenCAV AEB function is available here:    • Integrating AutoDRIVE Ecosystem with AVL D...  

A similar video showcasing the "virtual teleoperation" mode of the OpenCAV digital twin is available here:    • Integrating AutoDRIVE Ecosystem with AVL D...