From The Concept Of Being "The Boss" To The Idea Of Being "A Team": The Adaptive Co-Pilot As The Enabler For A New Cooperative Framework

Featured Application The design and implementation of an intelligent and adaptive co-pilot for driver-automation cooperation in automated vehicles. The implementation consists of a lateral vehicle controller based on shared control, with the novelty of having an adaptive level of authority, with stability considerations. The benefits of the implementation are shown with an objective and subjective comparison between the adaptive co-pilot and commercially available solutions, in a use case where a distracted driver requires support from automation. The "classical" SAE LoA for automated driving can present several drawbacks, and the SAE-L2 and SAE-L3, in particular, can lead to the so-called "irony of automation", where the driver is substituted by the artificial system, but is still regarded as a "supervisor" or as a "fallback mechanism". To overcome this problem, while taking advantage of the latest technology, we regard both human and machine as members of a unique team that share the driving task. Depending on the available resources (in terms of driver's status, system state, and environment conditions) and considering that they are very dynamic, an adaptive assignment of authority for each member of the team is needed. This is achieved by designing a technology enabler, constituted by the intelligent and adaptive co-pilot. It comprises (1) a lateral shared controller based on NMPC, which applies the authority, (2) an arbitration module based on FIS, which calculates the authority, and (3) a visual HMI, as an enabler of trust in automation decisions and actions. The benefits of such a system are shown in this paper through a comparison of the shared control driving mode, with manual driving (as a baseline) and lane-keeping and lane-centering (as two commercial ADAS). Tests are performed in a use case where support for a distracted driver is given. Quantitative and qualitative results confirm the hypothesis that shared control offers the best balance between performance, safety, and comfort during the driving task.