## 5 Results and Analysis
### Implementation of the Optimization Framework
\begin{table}
\begin{tabular}{c c} \hline
**DVE and** & DVE 1 \\ \hline \multirow{2}{*}{**Application Request**} & DVE 2 \\ \cline{2-3}  & DVE 3 \\ \cline{2-3}  & DVE 4 \\ \cline{2-3}  & DVE 5 \\ \cline{2-3}  & LQue \\ \cline{2-3}  & App. 1 = FCW \\ \cline{2-3}  & App. 2 = system interaction \\ \cline{2-3}  & App. 3 = turn indicators \\ \cline{2-3}  & App. 4 = volume increase \\ \cline{2-3}  & App. 5 = phone call \\ \hline \multirow{2}{*}{\begin{tabular}{c} FCW \\ \end{tabular} } & \multirow{2}{*}{\(f_{1}\)(DVE 1,..., DVE 5, LQue, App. 1,..., App. 5) : \(\mathbb{B}^{11}\rightarrow\mathbb{B}\)} \\ \cline{2-3}  & system interaction & \(f_{2}\)(DVE 1,..., DVE 5, LQue, App. 1,..., App. 5) : \(\mathbb{B}^{11}\rightarrow\mathbb{B}\) \\ \hline \multirow{2}{*}{\
\begin{tabular}{c} turn indicators \\ \end{tabular} } & \multirow{2}{*}{\(f_{3}\)(DVE 1,..., DVE 5, LQue, App. 1,..., App. 5) : \(\mathbb{B}^{11}\rightarrow\mathbb{B}\)} \\ \cline{2-3}  & volume increase & \(f_{4}\)(DVE 1,..., DVE 5, LQue, App. 1,..., App. 5) : \(\mathbb{B}^{11}\rightarrow\mathbb{B}\) \\ \hline \multirow{2}{*}{
\begin{tabular}{c} phone call \\ \end{tabular} } & \multirow{2}{*}{\(f_{5}\)(DVE 1,..., DVE 5, LQue, App. 1,..., App. 5) : \(\mathbb{B}^{11}\rightarrow\mathbb{B}\)} \\ \cline{2-3}  & & \\ \hline \end{tabular}
\end{table} 
Table 2: Truth table for scheduling: FCW; system interaction; turn indicators; volume increase of infotainment system; phone call. Implementation of the Optimized Filtering Strategy  
The optimized truth table served as the foundation for the development of the project demonstrator, as depicted in Figure 3. This is an intelligent system that, by collecting and processing information from various sources, is capable of prioritizing safety, customization, and distraction-free interaction for drivers. It was instrumental in developing a multi-modal A-HMI for the concept car named \"Kinecar\" [75], an innovative project spearheaded by Kineton. In this communication framework, applications convey their requests via Ethernet and CAN-bus to the Kinecar IVIS, equipped with a 15-inch display and based on the Renesas R-Car-H3e board. Within this framework, the A-HMI manages these requests using a request-response mechanism. Notably, the IVIS engages in Ethernet-based interactions with the Camera Control Unit (CCU), which is driven by the Nvidia Jetson AGX Xavier platform. The CCU plays as the central intelligent system of the whole setup, responsible for executing both the IMS and the DVE state recognition and monitoring system, detailed in Section 2. More specifically, the CCU's operations include running monitoring system modules, crucial for evaluating the five DVE parameters (described in Section 2.1) related to traffic and environmental conditions [55; 56], driver distraction [76] and PERCLOS [77]. These evaluations are carried out by processing measurements from a driver monitoring camera and a forward-facing camera, both received via USB. Subsequently, the CCU, utilizing the DVE parameters, filters these requests based on the previously optimized offline truth table, effectively scheduling the necessary actions.