AutoDRIVE-AVLDC v0.1.0
Initial release for the AutoDRIVE-AVLDC development and integration. This release hosts an automatic emergency braking (AEB) demo for the OpenCAV digital twin developed using AutoDRIVE Python API as well as AutoDRIVE ROS API. This release implements the AEB demo in two different capacities:
- Emulation: The ADAS/AD stack receives "ground-truth" measurements in the form of a distance to collision (DTC) metric. The planning and control modules use this information to engage brakes in case a collision is imminent.
- Stimulation: The ADAS/AD stack receives raw sensor data in the form of an RGB camera frame. The perception stack uses a deep learning model for object detection and computes the distance to collision (DTC) metric based on the type of object, its detection confidence, and its relative size in the frame. The planning and control modules use this information to engage brakes in case a collision is imminent.
Emulation | Stimulation |