Periodic Reporting for period 2 - AutoDrive (Advancing fail-aware, fail-safe, and fail-operational electronic components, systems, and architectures for fully automated driving to make future mobility safer, affordable, and end-user acceptable.)
Reporting period: 2018-05-01 to 2019-04-30
The main and first innovation of the AutoDrive project will be the design of a hardware architecture which will allow safe highly and fully automated driving under any conditions, ref to Figure_Ambition. To enable highly and fully automated driving according to SAE Level 4-5 more complex semiconductor-based systems are needed with much higher:
1. Computing power and architecture (More than Moore). The challenges are to achieve up to 100 times higher computational power with 28 nm technologies (automotive qualified of course), develop and refine a fail-aware, fail-safe and fail-operational hardware architecture based on domain controller concepts with reduced single point of failures and improved communication capabilities and to develop methods to enable make semiconductor-based systems aware of functional and parametric untreated weaknesses.
2. Communication speed, availability and security. The ambitions are:
- car internal communication needs new approaches enabling shared real-time computation and the exchange of huge data streams (necessary for 3D-awareness and vision systems)
- car external communication need to be able to be able to perform time critical communication to ensure collision prevention becomes possible, thus heavily reducing fatalities and injuries severity
- smart sensors as well as sensor fusions concepts for environmental perception needs further developments to ensure with fail-aware, -safe and -operation capabilities at any condition including cloud computing checks in case of uncertainty
- sensors with higher integrated computing power as well as high speed bus connection are needed to enable more prices perception as well as to share the workload intelligently
- an optimal ratio between HW and SW redundancy has to be derived in order to have an adequate power to cost ratio with a maximum reliability
- powertrain components and architectures need to be revised in order to enable a smart reconfiguration in case of a component failure
In addition, AutoDrive innovation will concern the data collection and algorithm generation of highly and fully automated driving. This includes the technologies for live scenario monitoring and validation, decision making for global and local path planning, control of the lateral and longitudinal driving, data acquisition and perception of multiple sources, collection of lifetime relevant tests, analysis of reliability relevant failure mode part combinations as well as determination of coverage of failure modes in the fleet operation compared to customer usage, which are needed and will be researched. By addressing both the needs in Hardware and Software developments AutoDrive aims to achieve a new level of system availability with fail operational capabilities. Another aspect that will be covered is the time to market for new automated driving algorithms. This time needs to be reduced without compromising safety. Therefore the number of relevant test cases shall be managed and aligned with “Open Scenario” from VIRES. By closely monitoring and virtualising critical situations as well as virtualizing the whole control platform virtual testing capabilities shall be largely improved in order to reduce the time to market of new control algorithms. Since end-user acceptance becomes crucial for cars capable of SAE level 3-5 the driver will remain key in using such systems. Thus, AutoDrive will derive the necessary general rules and standards for optimal system development regarding a high end-user acceptance by gathering currently existing and emerging knowledge from the project. AutoDrive will use the possibility to test highly automated driving in the City of Malaga as well as fully automated driving on the Campus Renningen to showcase the claimed advances beyond the state of the art.