Failure strategies for robot taxis
The AnRox research project aims to develop an optimized drive system for automated electric vehicles. As a project partner, EDI GmbH has the task of developing and validating a substitute system that steps in if the primary system fails Many well-known companies and institutions such as Bosch, Siemens, Infineon, and RWTH Aachen are working closely as partners to develop the efficient and fail-safe electrical system for robot taxis.
Using its dynamic risk management algorithm and predictive behavior, EDI GmbH's task is to develop strategies based on existing data to tell the system how to react, if the primary system or parts of it fail
In case of a breakdown, the intelligent ADAS (Advanced Driver Assistance System) will assess the situation and will stop the vehicle safely, so that the passengers are not endangered and safe. Moreover, in the event of a breakdown occurring while driving as well, if the vehicle detects an object such as a person or another vehicle in a place where the driver may not be able to notice them, the system will alert the driver. Likewise, if the car's battery becomes weak or the brake does not work properly the intelligent ADAS can alert the driver. If the system determines that the vehicle is leaving its lane, it can activate the lane departure warning.
In a nutshell, artificial intelligence is used to make the right as to how the vehicle should react to the error situation so as not to endanger the passengers and to bring the vehicle to a safe stop. The validation of these scenarios is carried out in a simulation.
Developing and validating a substitute system