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Mr. Demin Nalic
MSc

Basic Info


Research Keywords & Expertise

0 Automotive
0 Optimisation
0 Automated Driving
0 Control and Automation
0 Transporatation Engineering

Honors and Awards

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Career Timeline

University of Applied Sciences Vienna - Technikum Wien

University Lecturer

01 September 2018 - 01 February 2020


Graz University of Technology

Research or Laboratory Scientist

01 April 2018 - 30 August 2021


Siemens AG Austria

Others

01 March 2016 - 01 April 2018


Vienna University of Technology

Technician or Assistant

01 February 2015 - 01 August 2015




Short Biography

Demin Nalic received his bachelor's degree from Vienna University of Technology in Electrical Engineering and Information Technologies and his Master's degree in Control and Automation Engineering, 2016, from the same University. He has been a member of IEEE since 2018 and a member of the Intelligent Transportation and Vehicular Technology society within the organization. Currently, he is working as a research assistant at the Institute of automotive engineering at the Graz University of Technology. His research interests include autonomous systems, testing methodologies, and control solutions for automated driving systems.

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Conference
Virtual Conference
Date: 12-31 October 2020
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Demin Nalic
Conference
Virtual Conference
Date: 13-17 September 2020
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Demin Nalic
Project

Project Goal: Scenario Generation Method for Testing of Autoamted Driving Systems

Starting Date:01 January 2018

Current Stage: End of the project - Report Writing

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Journal article
Published: 27 May 2021 in Energies
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As the complexity of automated driving systemss (ADSs) with automation levels above level 3 is rising, virtual testing for such systems is inevitable and necessary. The complexity of testing these levels lies in the modeling and calculation demands for the virtual environment, which consists of roads, traffic, static and dynamic objects, as well as the modeling of the car itself. An essential part of the safety and performance analysis of ADSs is the modeling and consideration of dynamic road traffic participants. There are multiple forms of traffic flow simulation software (TFSS), which are used to reproduce realistic traffic behavior and are integrated directly or over interfaces with vehicle simulation software environments. In this paper we focus on the TFSS from PTV Vissim in a co-simulation framework which combines Vissim and CarMaker. As it is a commonly used software in industry and research, it also provides complex driver models and interfaces to manipulate and develop customized traffic participants. Using the driver model DLL interface (DMDI) from Vissim it is possible to manipulate traffic participants or adjust driver models in a defined manner. Based on the DMDI, we extended the code and developed a framework for the manipulation and testing of ADSs in the traffic environment of Vissim. The efficiency and performance of the developed software framework are evaluated using the co-simulation framework for the testing of ADSs, which is based on Vissim and CarMaker.

ACS Style

Demin Nalic; Aleksa Pandurevic; Arno Eichberger; Martin Fellendorf; Branko Rogic. Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim. Energies 2021, 14, 3135 .

AMA Style

Demin Nalic, Aleksa Pandurevic, Arno Eichberger, Martin Fellendorf, Branko Rogic. Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim. Energies. 2021; 14 (11):3135.

Chicago/Turabian Style

Demin Nalic; Aleksa Pandurevic; Arno Eichberger; Martin Fellendorf; Branko Rogic. 2021. "Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim." Energies 14, no. 11: 3135.

Journal article
Published: 15 December 2020 in Sustainability
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The increasingly used approach of combining different simulation softwares in testing of automated driving systems (ADSs) increases the need for potential and convenient software designs. Recently developed co-simulation platforms (CSPs) provide the possibility to cover the high demand for testing kilometers for ADSs by combining vehicle simulation software (VSS) with traffic flow simulation software (TFSS) environments. The emphasis on the demand for testing kilometers is not enough to choose a suitable CSP. The complexity levels of the vehicle, object, sensors, and environment models used are essential for valid and representative simulation results. Choosing a suitable CSP raises the question of how the test procedures should be defined and constructed and what the relevant test scenarios are. Parameters of the ADS, environments, objects, and sensors in the VSS, as well as traffic parameters in the TFSS, can be used to define and generate test scenarios. In order to generate a large number of scenarios in a systematic and automated way, suitable and appropriate software designs are required. In this paper, we present a software design for a CSP based on the Model–View–Controller (MVC) design pattern as well as an implementation of a complex CSP for virtual testing of ADSs. Based on this design, an implementation of a CSP is presented using the VSS from IPG Automotive (CarMaker) and the TFSS from the PTV Group (Vissim). The results showed that the presented CSP design and the implementation of the co-simulation can be used to generate relevant scenarios for testing of ADSs.

ACS Style

Demin Nalic; Aleksa Pandurevic; Arno Eichberger; Branko Rogic. Design and Implementation of a Co-Simulation Framework for Testing of Automated Driving Systems. Sustainability 2020, 12, 10476 .

AMA Style

Demin Nalic, Aleksa Pandurevic, Arno Eichberger, Branko Rogic. Design and Implementation of a Co-Simulation Framework for Testing of Automated Driving Systems. Sustainability. 2020; 12 (24):10476.

Chicago/Turabian Style

Demin Nalic; Aleksa Pandurevic; Arno Eichberger; Branko Rogic. 2020. "Design and Implementation of a Co-Simulation Framework for Testing of Automated Driving Systems." Sustainability 12, no. 24: 10476.

Journal article
Published: 10 December 2020 in IEEE Access
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Classical approaches for testing of automated driving systems (ADS) of SAE levels 1 and 2 were based on defined scenarios with specific maneuvers, depending on the function under test. For ADS of SAE level 3+, the scenario space is infinite and calling for virtual testing and verification. The biggest challenge for virtual testing methods lies in the realistic representation of the virtual environment where the ADS is tested. Such an environment shall provide the possibility to model and develop vehicles, objects, control algorithms, traffic participants and environment elements in order to generate valid and representative test data. An important and crucial aspect of such environments is the testing of vehicles in a complex traffic environment with a stochastic and realistic traffic representation. For this research we used a microscopic traffic flow simulation software (TFSS) PTV Vissim and the vehicle simulation software IPG CarMaker to test ADS. Although the TFSS provides realistic and stochastic behavior of traffic participants, the occurrence of safety-critical scenarios (SCS) is not guaranteed. To generate and increase such scenarios, a novel stress testing method (STM) is introduced. With this method, traffic participants are manipulated in the vicinity of the vehicle under test in order to provoke SCS derived from statistical accident data on motorways in Austria. Using the co-simulation between IPG CarMaker, PTV Vissim and external driver models in Vissim are used to imitate human driving errors, resulting in an increase of SCS.

ACS Style

Demin Nalic; Hexuan Li; Arno Eichberger; Christoph Wellershaus; Aleksa Pandurevic; Branko Rogic. Stress Testing Method for Scenario-Based Testing of Automated Driving Systems. IEEE Access 2020, 8, 224974 -224984.

AMA Style

Demin Nalic, Hexuan Li, Arno Eichberger, Christoph Wellershaus, Aleksa Pandurevic, Branko Rogic. Stress Testing Method for Scenario-Based Testing of Automated Driving Systems. IEEE Access. 2020; 8 (99):224974-224984.

Chicago/Turabian Style

Demin Nalic; Hexuan Li; Arno Eichberger; Christoph Wellershaus; Aleksa Pandurevic; Branko Rogic. 2020. "Stress Testing Method for Scenario-Based Testing of Automated Driving Systems." IEEE Access 8, no. 99: 224974-224984.

Preprint
Published: 09 November 2020
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Virtual testing of automated driving systems (ADS) become essential part of testing procedures for all automation levels. As ADS from automation level 3 and up are very complex virtual testing for such systems is inevitable. The complexity for these levels lies in the modelling and calculation demand for the virtual environment which consists of roads, traffic, static and dynamic objects and the modelling of the car itself. For safety and performance analyses of ADS the most important part is the modelling and consideration road traffic participants. There are several traffic flow simulation software (TFSS) which are used to reproduce realistic traffic behaviour and are integrated directly or over interfaces with vehicle simulation software (VSS). Beneficial for these software environments is the possibility to manipulate traffic participants in a defined manner e.g. in the vicinity of the vehicle under test or implementing defined driver models for traffic vehicles. In this work we present a software framework based on the external driver model interface provided by Vissim. This framework makes it possible to easily manipulate traffic participants for testing purposes of ADS.

ACS Style

Demin Nalic; Aleksa Pandurevic; Arno Eichberger; Branko Rogic. Software Framework for Testing of Automated Driving Systems in a Dynamic Traffic Environment. 2020, 1 .

AMA Style

Demin Nalic, Aleksa Pandurevic, Arno Eichberger, Branko Rogic. Software Framework for Testing of Automated Driving Systems in a Dynamic Traffic Environment. . 2020; ():1.

Chicago/Turabian Style

Demin Nalic; Aleksa Pandurevic; Arno Eichberger; Branko Rogic. 2020. "Software Framework for Testing of Automated Driving Systems in a Dynamic Traffic Environment." , no. : 1.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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For market introduction of advanced driver assistant (ADAS) and automated driving (AD) systems on full vehicle level, testing and validation is one of the biggest challenges. The present study describes a novel approach that integrates a driving simulator in a virtual development process aiming to reduce time and effort for system development. The approach is demonstrated on a specific automated lane change assist (LCA) system. To this end, the LCA function and the corresponding human machine interface (HMI) are developed and implemented in the driving simulator. The core of the approach is a driving simulator-based testing method which proposes a novel two stage testing concept and involves multiple test drivers. The method provides better insight into the overall system performance and, moreover, detects potentials for improvements dedicated for the ADAS functionalities as well as for the design of the HMI system. Using this method, a driving simulator study with 20 volunteer drivers is conducted to evaluate the LCA system with respect to driver acceptance and user friendliness. The results of the study will be used for the parametrization and fine tuning of the LCA function as well as for the HMI improvement.

ACS Style

Branko Rogic; Demin Nalic; Arno Eichberger; Stefan Bernsteiner. A Novel Approach to Integrate Human-in-the-Loop Testing in the Development Chain of Automated Driving: The Example of Automated Lane Change. IFAC-PapersOnLine 2020, 53, 10188 -10195.

AMA Style

Branko Rogic, Demin Nalic, Arno Eichberger, Stefan Bernsteiner. A Novel Approach to Integrate Human-in-the-Loop Testing in the Development Chain of Automated Driving: The Example of Automated Lane Change. IFAC-PapersOnLine. 2020; 53 (2):10188-10195.

Chicago/Turabian Style

Branko Rogic; Demin Nalic; Arno Eichberger; Stefan Bernsteiner. 2020. "A Novel Approach to Integrate Human-in-the-Loop Testing in the Development Chain of Automated Driving: The Example of Automated Lane Change." IFAC-PapersOnLine 53, no. 2: 10188-10195.

Conference paper
Published: 01 October 2019 in 2019 IEEE Intelligent Transportation Systems Conference (ITSC)
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ACS Style

Demin Nalic; Arno Eichberger; Georg Hanzl; Martin Fellendorf; Branko Rogic. Development of a Co-Simulation Framework for Systematic Generation of Scenarios for Testing and Validation of Automated Driving Systems*. 2019 IEEE Intelligent Transportation Systems Conference (ITSC) 2019, 1 .

AMA Style

Demin Nalic, Arno Eichberger, Georg Hanzl, Martin Fellendorf, Branko Rogic. Development of a Co-Simulation Framework for Systematic Generation of Scenarios for Testing and Validation of Automated Driving Systems*. 2019 IEEE Intelligent Transportation Systems Conference (ITSC). 2019; ():1.

Chicago/Turabian Style

Demin Nalic; Arno Eichberger; Georg Hanzl; Martin Fellendorf; Branko Rogic. 2019. "Development of a Co-Simulation Framework for Systematic Generation of Scenarios for Testing and Validation of Automated Driving Systems*." 2019 IEEE Intelligent Transportation Systems Conference (ITSC) , no. : 1.