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This kind of ACC system behaviour is   Highly interesting insights on how   REFERENCES
            relatively balanced, without important   customers perceive an optimal design in   [1]  List, H.; Schoeggl, P.: Objective Evaluation of
            weaknesses. It is less likely to cause cus-  terms of comfort and perceived safety   Vehicle Driveability. SAE Technical Paper, 1998,
                                                                                DOI: 10.4271/980204
            tomer complaints. Although this system   can be gained in order to integrate these   [2] Schoeggl, P.; Ramschak, E.: Vehicle Driveability
            behaviour is quite good there are some   findings in future ADAS development to   Assessment using Neural Networks for Develop-
            areas that should be optimised to better   rise the maturation level of such sys-  ment, Calibration and Quality Test. SAE Technical
            satisfy customers expectations.   tems. But there are also regional differ-  Paper, 2000, DOI: 10.4271/2000-01-0702
                                                                                [3] Zehetner, J.; Schöggl, P.; Dank, M.; Meitz, K.:
                                              ences on how a system should behave.  Simulation of Driveability in Real-time. SAE Techni-
                                                The new AVL-Drive module for    cal Paper, DOI: 10.4271/2009-01-1372
            CONCLUSION
                                              assessing and validating ADAS func-  [4] Holzinger, J.; Schoeggl, P.; Schrauf, M.; Bogner,
            The presented paper outlines a new meth-  tions enables one consistent develop-  E.: Objective assessment of driveability while auto-
                                                                                mated driving. In: ATZworldwide 116 (2014), No. 12,
            odology for objective drivability ratings of   ment process from HiL or complete test-  pp. 24-29
            ADAS. Therefore the well-established   bed setups to on-the-road-testing and   [5] Mai, M.; Wang, L.; Helmer, T.; Prokop, G.:
            AVL-Drive system for longitudinal driva-  can be applied to all current as well as   Numerical driver behaviour model for stochastic
                                                                                traffic simulation for the evaluation of driver assis-
            bility issues has been enhanced with   coming OEM models to achieve better   tance systems and automated driving functions.
            environment recognition sensors such as   customer acceptance for future auto-  7 th Congress on Driver Assistance Systems, Munich
            radar and a lane detection camera. Fur-  matic transport solutions. Vast amounts   (Germany), 2015
            thermore novel driving operation modes,   of measurement data can be processed
            to describe and objectively evaluate par-  in a very time efficient manner. Only
            tial or fully automatic driving, have been   the relevant events, to describe auto-
            defined and developed which are detected   mated driving and its various physical
            automatically by AVL-Drive. To define   parameters, are considered. As a result
            and develop these grade-related ratings,   meaningful rating criteria on how well
            criteria and functions a comprehensive   the ADAS under investigation is per-
            study on subjective perception of driver   forming, with regards to driving com-
            assistance systems by humans, regular   fort and perceived safety of the car
            customers as well as professional drivers,   occupants, can be obtained. This
            was performed. Hence, multi-dimensional   improves and accelerates the commu-
            correlation formulas for defined assess-  nication process between the engineer-
            ment criteria could be derived.   ing departments and the management.







































            FIGURE 1 ACC system behaviour of vehicle 20 (green line) in ACC scatter
            band (= minimum and maximum assessments of all vehicles) and average
            values (red line); rating 3 = bad, rating 10 = very fine (© AVL)
            ATZ worldwide  09|2017                                                                           19
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